Failure Situations Research Articles

Adaptive active inceptor design under shared control architecture for nonlinear pilot-induced oscillations

This paper presents a Shared Control Architecture (SCA) between a human pilot and a smart inceptor for nonlinear Pilot Induced Oscillations (PIOs), e.g., category II or III PIOs. One innovation of this paper is that an intelligent shared control architecture is developed based on the intelligent active inceptor technique, i.e., Smart Adaptive Flight Effective Cue (SAFE-Cue). A deep reinforcement learning approach namely Deep Deterministic Policy Gradient (DDPG) method is chosen to design a gain adaptation mechanism for the SAFE-Cue module. By doing this, the gains of the SAFE-Cue will be intelligently tuned once nonlinear PIOs triggered; meanwhile, the human pilot will receive a force cue from the SAFE-Cue, and will consequently adapting his/her control policy. The second innovation of this paper is that the reward function of the DDPG based gain adaptation approach is constructed according to flying qualities. Under the premise of considering failure situation, task completion qualities and pilot workload are also taken into account. Finally, the proposed approach is validated using numerical simulation experiments with two types of scenarios: lower actuator rate limits and airframe damages. The Inceptor Peak Power-Phase (IPPP) metric is adopted to analyze the human-vehicle system simulation results. Results and analysis show that the DDPG based sharing control approach can well address nonlinear PIO problems consisting of Categories II and III PIO events.

Logical ontological modeling of cargo port risk management

Enterprises in any field, including those in the transport and logistics sector, are faced with the need to gain a competitive advantage through the use of innovative management methods. These include the integrated use of methods for managing organizational systems along with the use of advanced tools and technologies. Particular attention is paid to risk management in order to prevent undesirable situations. This paper is the first to present a description of a logical ontological model for the integrated application of multi-level goal setting based on a balanced scorecard (BSC) and logical probabilistic (LP) modeling to support decision-making on cargo port risk management. Situations of failure to achieve the goals of the cargo port, including failure to achieve standard values of indicators, are considered as risks. The integrated use of BSC and LP modeling technologies made it possible to build a general concept of multi-level goal setting. Its main advantage lies in the detailed elaboration of the company’s goals, which are subordinated to the main strategic goal. This makes it possible to influence operational events and obtain positive results in tactical and strategic plans. The ontological model contains all the information about the components interaction that influence the risk events and makes it possible to select options for exiting a risk situation in accordance with specified conditions. The results of queries to a risk-oriented ontological model are options for management decisions aimed at reducing risks in the operation of a cargo port.

Риск-ориентированная онтологическая модель поддержки принятия управленческих решений в грузовом порту на основе многоуровневого целеполагания

In today's unstable market environment, transport logistics enterprises face the task of predicting possible risk situations in order to avoid them, as well as developing tools that allow them to form management decisions, evaluate the effectiveness of each of them and choose the most appropriate one, taking into account specific tasks and various influencing factors. Situations of failure to achieve the goals of a cargo port, as well as cases of failure by indicators to assess these goals of normative values, are considered as risks. The goals and indicators are outlined and described in the previously built Balanced Scorecard (MTSP). A set of links between goals and indicators of their assessment with risks at various levels of management is presented in the form of a developed multi-level hybrid logical-probabilistic (LV) risk model of a cargo port, as well as in detailed scenario models of this LV model. The integrated use of SSP and LV modeling technologies allowed us to build a general concept of multi-level goal setting, the main advantage of which lies in the detailed elaboration of the company's goals subordinate to the main strategic one, which allows, if necessary, to influence operational events and obtain a positive result in the longer term, in tactical and strategic plans. The ontological model contains all the information about the interaction of elements that affect the occurrence of risky events, and allows you to select options for getting out of a risky situation in accordance with various specified conditions. The results of queries to the risk-oriented ontological model are variants of management decisions aimed at reducing risks in the cargo port.

An examination of spiritual capital and innovation: insights from high-growth aspiration entrepreneurs in a developing economy

PurposeThis study aimed to examine the relationship between spiritual capital and small business innovation in a developing market economy and the highly religious society of Minangkabau.Design/methodology/approachA quantitative method was used by analyzing the data with partial least squares (PLS), comprising 278 entrepreneurial and high-growth aspiration small and medium-sized enterprises (SMEs) owners in a developing economy such as Indonesia.FindingsThe results showed that spiritual capital was a source of acquiring knowledge from innovation failure situations, serving as a catalyst for the occurrence of novelty and differentiation-related innovation.Research limitations/implicationsThe perspective of spiritual capital was provided within a religious community, showing that future reports should produce comparative analyses from varying contexts. Since understanding entrepreneurs' perspectives and spiritual capital situation remained ambiguous, the performance of qualitative analysis was crucial.Practical implicationsEntrepreneurs were expected to obtain considerable benefits from spiritual capital as a source of inspiration for differentiation and higher levels of novelty-related innovation. Similarly, policymakers should implement the capital and learn from failure to evaluate entrepreneurial SMEs concerning their capabilities.Originality/valuePrevious studies were unable to acknowledge an alternative source of innovation in a specific context, such as entrepreneurial SMEs with high-growth aspirations and spiritual capital. This is because capital contributes to innovation, helps in the assimilation of innovative knowledge and causes novelty-related innovation.

Analisis Keandalan Main Battery Peshawar CRJ-1000 Di Maskapai Garuda Indonesia

The main battery on the CRJ-1000 aircraft is an important component in the aircraft's electrical system. The main battery functions as the main source of electric power when the aircraft is turned off or when the aircraft engine is not operating. If there is a failure in the aircraft's battery it can cause disruption to other systems so that the aircraft cannot fly or Aircraft on Ground (AOG). In Garuda Indonesia's CRJ-1000 aircraft battery, there were several findings where the battery failed before reaching the scheduled removal time. This study aims to analyze the reliability of the CRJ-1000 main battery on the Garuda Indonesia airline. The analytical method is carried out by collecting historical data on main battery failures and calculating the Mean Time Between Failure (MTBF) and Availability values for a certain period. In addition, an analysis was also carried out on maintenance procedures and replacement of the main battery carried out by Garuda Indonesia airline technicians. The results of the analysis show that the MTBF of the CRJ-1000 main battery on Garuda Indonesia airlines has a fairly good value, but there is a need for improvement in maintenance procedures and replacement of the main battery to increase availability. The recommendations proposed are evaluating the main battery maintenance and replacement procedures, as well as increasing the availability of main battery spare parts which can speed up repair times in failure situations.

Tooth surface analysis method based on thermo-mechanical coupling and its application in prediction of gear dry-running bearing capacity

In gear transmission, the continuous meshing of the teeth will lead to an increase in their temperature, which will have a certain impact on the working performance of the tooth surface. In order to explore the failure-bearing capacity of gears under dry-running conditions, temperature effects were considered in existing methods for determining tooth surface failure, making it more suitable for high-temperature working conditions caused by a lack of lubrication. The failure situation of gears within 35 min after losing lubrication was analyzed. The results indicate that when the gear loses lubrication, the tooth surface temperature of the gear pair has exceeded the material melting point after working at an input power of 2000 kW for 12 min. But when the power drops to 1000 kW, the instantaneous temperatures of the driving and driven gear tooth surfaces at the end of 35 min reach 1090 and 995°C, respectively, which are lower than the scuffing temperature of the tooth surface. The cumulative wear depths of the driving and driven gear tooth surfaces at the end of 35 min were 239 and 86.6 um, respectively, which were lower than the failure wear depth of the tooth surface; The allowable contact stress of the gear pair within 35 min is greater than its contact stress, meeting the judgment condition of no pitting failure. This indicates that reducing power can appropriately extend the failure time of gear teeth, thereby improving the ultimate working capacity of gears under dry-running conditions. In addition, a gear dry-running experiment was carried out. By comparing the theoretical calculation results with the measured gear failure degree, it shows that the improved method for determining gear surface failure is effective.

TRANSFORMATION OF POLITICAL AND ADMINISTRATIVE COORDINATION STRATEGIES IN THE STRUCTURE OF PUBLIC RISK MANAGEMENT

The article problematizes a range of issues related to the transformation of coordination relations in the structure of public administration when making decisions under conditions of uncertainty. The main substantive objective of the study is to analyze the conceptual model of strategies and political-administrative coordination mechanisms of interaction in risk situations, the features of management influences that ensure enhanced functionality of prevention and distribution of threats, especially in the context of digitalization. The research methodology is based on classical and modern concepts of public management, risk and its perception, and theories of political coordination of various forms of algorithmic threat management. The article argues that coordination in the structure of public administration is a political form of coordination and correction of political interests, rules of interaction between producers and consumers of risks, their beneficiaries and those most exposed to risks. The article proves that political and administrative coordination in the field of risk management is aimed at minimizing the results of conflicts of interest, deformation of the perception of threats and dangers into riskophobia or riskophilia. The authors argue that government monopolization of the right to information about risks reduces the possibilities for joint coordination and the effectiveness of political strategies to address threats. The analysis made it possible to come to the conclusion that the discoordination of functions, tasks and risk management processes does not allow the preferences and perceptions of risk of social actors to be aggregated into the overall interest of preventing and forecasting threats, and forms points of blockade of the structural-organizational and institutional-regulatory mechanism for controlling hazards in the social system. The study identifies and describes dysfunctions in the field of public administration associated with discoordination of political risk management, highlights institutional, distributional, behavioral and paternalistic management failures in situations of uncertainty, threats and dangers, identifies and describes mechanisms of political-administrative coordination risk management.

Cluster Neuronal Firing Induced by Uniform Pulses of High-Frequency Stimulation on Axons in Rat Hippocampus.

High-frequency stimulation (HFS) of electrical pulse sequences has been used in various neuromodulation techniques to treat certain disorders. Here, we test the hypothesis that HFS sequences with purely periodic pulses could directly generate non-uniform firing in directly stimulated neurons. In vivo experiments were conducted in the rat hippocampal CA1 region. A stimulation electrode was placed on the alveus fibers, and a recording electrode array was inserted into the CA1 region upstream of the stimulation site. Antidromic-HFS (A-HFS) of 100 Hz pulses was applied to the alveus to antidromically activate the soma of pyramidal neurons around the recording site. By minimizing the interferences of population spikes, the evoked unit spikes of individual pyramidal neurons were obtained during A-HFS. Additionally, a computational model of pyramidal neuron was used to simulate the neuronal responses to A-HFS, revealing possible mechanisms underlying the different firing patterns. Of the total 54 pyramidal neurons recorded during 2-min 100 Hz A-HFS, 38 (70%) neurons fired in a cluster pattern with alternating periods of intensive spikes and silence. The remaining 16 (30%) neurons fired in a non-cluster pattern with regular spikes. Modeling simulations showed that under the situation of HFS-induced intermittent block, conduction failure and generation failure of action potentials along the axons resulted in the cluster and non-cluster firing. Sustained axonal A-HFS with periodic pulses can induce non-uniform firing in directly stimulated neurons. This finding provides new evidence for the nonlinear dynamics of neuronal firing, even under uniform stimulation.

An adaptive distributed intrusion detection system in local network: Hybrid classification methods

In the realm of cybersecurity, the incessant evolution of network attacks necessitates advanced and robust intrusion detection systems (IDS). The major issues with these systems are numerous: false positivenegative alarms, delayed response and detection time, size of processed data, adaptability to future threats, scalability of the system, difficulty in detecting distributed attacks, and downtime (fault tolerance). We propose a system that introduces a distributed framework aimed at enhancing network security by effectively identifying subtle deviations from normal network behavior. This is achieved through transfer learning based on artificial neural networks, and support vector machine (SVM), capitalizing on their complementary strengths in recognizing complex patterns and addressing high-dimensional datasets. To validate the efficacy of the proposed approach, the NSL-KDD dataset is utilized within a distributed IDS architecture. It consists of several intrusion detection nodes representing subnetworks. A node consists of two agents that work collaboratively. A way is proposed to avoid interference between analysis agents: the network agents manager monitors the functioning of the nodes and displays the results of each vulnerability-detecting node in each subnet separately. Such communication between agents should reduce FPAS (false positive alarms) significantly. The Detection engine extracts relevant features of network attacks to solve the problem of SVM in processing huge sizes of data and detect adaptive future threats to detect famous distributed denial of services (DDOS) attacks in real-time. The system is highly scalable by increasing the number of intrusion detection system nodes if necessary. Central processing is avoided to circumvent a system failure situation, where processing and decision-making take place at the detection node level within each subnet.

A protective buffer or a double-edged sword? Investigating the effect of “parasocial guanxi” on consumers’ complaint intention in live streaming commerce

The buyer-seller relationship in live streaming commerce is crucial especially in service failure situations, yet it has been underexplored. In this paper, we reconceptualized the relationship between consumers and sellers in live streaming commerce as “parasocial guanxi”, which consists of ganqing (emotional attachment), xinren (trust) and reciprocal value. The effects of parasocial guanxi on consumer dissatisfaction and complaint intention in service failure situations were further investigated based on the expectation confirmation theory. Our study involved 425 valid questionnaires and employed the partial least squares structural equation method (PLS-SEM). The findings are mixed: on one side, parasocial guanxi acts as a buffer, mitigating dissatisfaction and complaint intention in the face of product or service problems and reducing the impact of disconfirmation on consumer dissatisfaction. On the other side, it may also increase the likelihood of dissatisfied consumers complaining. Furthermore, the buffering effect weakens as consumers make more frequent purchases. The findings have important theoretical and practical implications for understanding the buyer-seller relationship in live streaming commerce.

ANN-based fault diagnosis of induction motor under stator inter-turn short-circuits and unbalanced supply voltage

Induction motors (IMs) are extensively used in industrial sector. This kind of machine is subjected to several stresses that could interrupt their normal operation. An excessive stress can generate some symptoms before the IM fall in failure situation. Therefore, incipient detection of these symptoms permits the shutdown of IMs in order to avoid total destruction. Fault detection is then the main objective of diagnosis systems. Stator inter-turn short-circuits (SITSC) constitutes an important amount of cause of IM breakdown. However; unbalance supply voltage (USV) is one of the advantageous factors that affect IMs operation. Thus, in order to avoid false alarm induced by USV, the diagnosis system must make difference between USV and SITSC faults. This paper presents an efficient approach to estimate SITSC percentage and detect USV occurrence using Artificial Intelligent (AI) tool. Artificial neuronal network (ANN) plays the key-role of the proposed diagnosis system. A fault Classifier of SITSC and USV is carried out using multi-layer perceptron neuronal network (MLP-NN). The training, testing and validation phases of MLP-NN need the dataset creation. The required data is obtained from both simulated mathematical model of IM and laboratory test-bed. The reached results show the sensitivity and the well-functioning of the proposed diagnosis system.

A Study on H∞-Fuzzy Controller for a Non-Linear Wind Turbine with Uncertainty

In this study, an H∞-fuzzy controller is proposed for application in wind turbines with uncertainties and nonlinearities. The performance of the proposed controller was validated via dynamic simulations using a commercial aero-elastic code and wind tunnel experiments employing a scaled wind turbine. The simulation and the experimental results were then compared with those of the conventional PI and LQR control algorithms presented in our previous study. In the simulation, the perturbation and the sensor noise were applied to reflect uncertainty and nonlinearity effects. In addition, in the wind tunnel experiment, a control system using a commercial Bachmann PLC was established with an accelerometer to estimate the fatigue load exerted by the rotor thrust. It was confirmed through experiments that the robustness and adaptation of the control system improved in the situation of pitch system failure. As a result of the experiment, the proposed H∞ controller was able to reduce the rotor speed fluctuation by 39.9%, the power fluctuation by 32.0%, and the fatigue load by 2.4% compared with the LQR fuzzy controller, which had better performance than the conventional PI controller. In addition, it was confirmed through experiments that the robustness and adaptation of the control system were well maintained. This was even true in the situation of one-blade pitch system failure.

INFLUENCE OF INTENTIONAL GOVERNANCE MECHANISMS ON THE OVERALL PERFORMANCE OF ASSOCIATIONS IN MOROCCO EXPLORATORY STUDY

Moroccan youth is currently in a situation of failure their supervision remains a crucial challenge for all actors including associations. Moreover, the 2011 constitution has allowed the recognition of the latter as a strategic actor by granting new missions. These important advances have challenged associations to improve their performance by integrating governance in an optimal way. This study examines the influence of intentional governance mechanisms on the overall performance of Moroccan associations, particularly those working in the youth field. The literature review focused on two aspects: the intentional mechanisms of governance and its organizational determinants, and the overall performance of associations and its dimensions. The epistemological choice that was made in the context of this research work is positivism adapted to a hypothetico-deductive reasoning. An initial exploratory qualitative study with Moroccan associative actors allowed us to frame the different variables in relation to the two concepts studied in the Moroccan context and to make them consistent in a conceptual model.

Investigation of edge computing hardware architectures processing tiny machine learning under neutron-induced radiation effects

This article investigates 14-MeV neutron radiation soft-error effects on two contrasting hardware architectures for edge computing systems, one based on an 8-bit processor and another on a 64-bit processor, both processing three frequently used types of tiny machine learning (ML) algorithms. Experimental results of 14-MeV neutron radiation tests in the different case-study ML algorithms running on the 64-bit processor show that the artificial neural network version using floating point failed more than the other versions, although most failure situations caused no misclassification in the ML inference. Furthermore, considering tiny ML applications demanding the investigated 8-bit and 64-bit computing systems for the same amount of ML inferences, the overall results suggest a preliminary trend that both case-study systems would have similar tolerance to 14-MeV neutron radiation soft errors.

Perceived Justice and Customer Loyalty in the Situation of Beauty Service Failure

The hair salons industry has seen many players coming into the market due to low entry barriers and thus it is getting harder to attract new customers in a highly competitive market. As a result, operators are competing more on delivering better services. Like other service businesses, hair salons understand the importance of maintaining high-quality customer service. Since it is nearly impossible to cater to all customer needs as they prefer, handling service failures effectively is considered to be vital. This study aims to examine the processes in which perceived justice of service recovery influences recovery satisfaction and thus this leads to customer loyalty. To achieve this purpose, an online survey was administered to 434 people who reside in the greater Seoul metropolitan area, South Korea, and have visited hair salons for hair care services. The results indicated that customers’ perceived service recovery justice affects satisfaction and finally contributes to customer loyalty, which reconfirms the finding of prior studies that appropriate compensation and the customer-service provider-relationship positively influence customers’ recovery satisfaction. This study also provides hair care service providers with directions on how to restore customers’ recovery justice following service failures.

«Ага!» и «Ах, да!»: как эмоции влияют на субъективное переживание инсайта

Besides classical “Aha!” moments after successful solutions, researchers have recently examined the “Oh yes!” phenomenon, which occurs when participants are presented with ready-made answers. We investigated the influence of emotional state on insight ratings in these two situations. We propose two alternative models to predict the impact of emotional state on the likelihood of experiencing “Aha!” and “Oh yes!” moments. The first model is based on the feelings-as-information framework and predicts that a generally more positive mood can be attributed by participants to positive emotions from insight. Participants, interpreting their positive state, believe that it is due to insight and will be more likely to experience both “Aha!” and “Oh yes!” insights. The second hypothesis is based on the attribution theory and connects the evaluation of insight with causal attribution. The causes of failure are attributed to external circumstances, while the causes of success are attributed to internal factors. The prediction aligns with the first hypothesis in the case of correct solutions (success situations). However, in the case of unsuccessful solutions (failure situations), the prediction is opposite. We conducted a study using anagrams as the problem-solving task and employed mood-inducing videos to manipulate the participants' emotional state. Question naires assessing participants' states revealed that our interventions improved the participants' mood, reduced anxiety and fatigue. The results of the analysis supported the second hypothesis. We discuss that the mechanisms through which emotional state influences insight ratings may vary depending on the type of insight and may be related to different attentional focuses, decision-making strategies, or emotional congruence effects.

Evaluation of the sustainability of party logistics service providers with failure modes and effects analysis method: its application in a company

Purpose- The purpose of this research is to increase customer satisfaction and business performance in the sector to eliminate failure situations of the processing phases of the departments of the business and to develop the quality of the system. The objective of this research is to enhance customer satisfaction and business performance by addressing and eliminating failure situations in the processing phases of the business departments and improving the quality of the system. To achieve this, the study focuses on evaluating third-party and fourth-party logistics service providers in the context of sustainability. While there are existing approaches to evaluate party logistics under general headings, there is a lack of specific studies focusing on companies operating in a single field. Therefore, this study aims to fill that gap by examining the business evaluation criteria of third-party and fourth-party logistics service providers for a white goods company in Turkey. Methodology- During the research, the concept of third-party logistics has gained attention within the scope of sustainability, the competition among organizations providing this service has become more intense, as have customer expectations. The research utilizes Failure Mode and Effects Analysis (FMEA) and Pareto Analysis (PA) to assess the sustainability of the supply chain and batch logistics for the company. Findings- As a result of the research, the findings in the direction of quality improvement-development within the scope of the service provided by the business are presented. The initial phase of process enhancement for logistics operations begins with the FMEA results. Development initiatives may begin if improvement initiatives are maintained. Development activities and resources ought to be distributed in accordance with this level of priority with regard to the first work that has to be performed to enhance the process. Conclusion- All risk considerations might not be realized inside a particular process since there are only a limited number of possibilities to be assigned for enhancement prosperity. By conducting risk prevention studies in accordance with the priorities that will be decided upon each period, it is intended to produce continuous improvement. Overall, while it may not be possible to address every risk, prioritizing risks and conducting risk prevention studies can help organizations achieve continuous improvement and increase their chances of success. Keywords: Failure Mode and Effects Analysis (FMEA), Pareto Analysis (PA), party logistics, quality, supply chain, sustainability. JEL Codes: 030, N01, L15, L21, L84

Justice Based Recovery Expectations of Airline Passengers After Service Failure - A Conceptual Study - A Case Study of Goa - India

Purpose: This study researched the perceived severity and controllability of various service failure scenarios and the divergent expectations of justice from the viewpoints of the customers. Theoretical Framework: Understanding customers’ expectations from service recovery after service failure is essential to the service providers, as services are highly prone to failures. The mismatch between customers’ expectations of service recovery and service recovery action of the service provider will cause dissatisfaction to customer. Hence, this study considered the varying perceptions of severity and controllability of service failure scenarios leading to dissimilar expectations of customers in terms of justice. Design/Methodology/Approach: This study has adopted three stage methodologies. In stage I, exploratory interviews with the officials of eight airlines and eight passengers were conducted, along with perusal of airline websites, for obtaining failure situations. In stage II, these situations were used in questionnaire 1, and responses of 313 airline passengers were used to determine the seriousness and manageability of failure scenarios. In stage III, 459 responses to questionnaires 2 and 2 A helped to unearth their expectations of justice, using failure scenarios collected in stage II. Findings: The study demonstrates that the three types of justice, namely, procedural, interactional, and distributive justice are preferred in different order, depending on whether perceived severity and controllability of failure circumstances are present or absent. The findings of this study may not be generalizable across different industries due to varied servicescapes and dissimilar failure situations across industries. Research, Practical/ & Social Implications: Depending on the various failure scenarios, the firm's resources can be properly directed towards delivering the desired justice. This can stall client flight by preventing secondary discontent with service recovery, which is explained as double deviation, and open the door for relationship marketing. Originality/Value: Even though studies on service failure and recovery have garnered a lot of attention, the combined effect perceived severity and controllability of failure circumstances on customers' expectations of justice was not apparent. This study enhances the body of knowledge on service recovery by presenting how these two variables, when taken together, would affect the order of preference of recovery expectations of justice.

Mechanical analysis of composite plates adhesively joined with different single-lap techniques under bending loading

Abstract In this study, composite plates adhesively joined using single-lap joint without intermediated material (SLJ) and intermediated material (IM-SLJ) subject to bending loading were investigated via finite element analysis. DP 410 type adhesive was used. Composite parts and intermediate material were preferred as T700 carbon/epoxy. Numerical analyses were carried out using ANSYS 14.5 software package, in which the finite element method was taken into account. Failure situations for adhesive and composites were examined by the von-Mises failure criteria and the Tsai-wu failure criteria, respectively. Firstly, the failure loads for each parameter situation were determined. The equivalent stresses of the critical stress lines on adhesive layers were examined and critical stresses line were determined for length and width of adhesive layers. Shear, normal, and von-Mises stresses were investigated at obtained failure load for each parameter of SLJ and IM-SLJ. The von-Mises on the critical stress lines were compared for different overlap width and length of SLJ and IM-SLJ. The effects of joint techniques, orientation angles, and overlap dimensional were investigated on adhesive layer, and joint techniques were compared about advantages. A different study from the literature was carried out to compare the mechanical behavior of SLJ and IM-SLJ joining techniques.

Study on self-diagnosis/prediction technology for LIDAR sensor of autonomous vehicles

Along with the development of autonomous driving technology, the need for self-failure diagnosis and Remaining Useful Life (RUL) prediction technology for core parts for autonomous driving is increasing. In particular, the characteristics of the light detection and ranging (LIDAR) sensor exposed to the outside further increase the need to apply fault diagnosis and RUL prediction technology considering various environmental variables. In this study, based on the accelerated degradation test of LIDAR, the failure mode was analyzed. Through this, LIDAR failure due to thermal runaway, which is the first failure type in high temperature conditions, was identified, and whether there were major environmental data that could identify thermal runaway was identified. In the case of LIDAR's thermal runaway phenomenon, a study on an algorithm to identify the precursor symptoms of failure in an accidental failure situation is conducted. Afterwards, through the actual vehicle test process, various environmental variable information is analyzed for correlation with LIDAR internal sensor data, and the abnormal data for the temperature of the internal parts of the LIDAR is predicted through the external environmental sensor.