Reliability Of Mechatronic Systems Research Articles

Reliability of Mechatronic Systems and Machine Elements: Testing and Validation

The design of reliable systems is a key challenge in product engineering [...]

Reliability prediction of a mechatronic hydraulic drive at the early design stages

The article deals with the reliability of technological machines that use hydraulic feed drives. A priority task in mechanical engineering is the design of mechanical systems with higher stability, reliability, and performance. Various mechatronic systems are used to solve this problem, including mechatronic motion modules for hydraulic drives of technological machines. It is noted that the study of the reliability of mechatronic systems presents a special problem since the interaction of mechanical, hydraulic, and electronic systems gives rise to some new aspects of the theory of reliability. The main technical solutions for reliability incorporated in the design directly impact the machine's functional and economic characteristics. When predicting reliability at an early stage of design, there is the greatest uncertainty (entropy) in assessing the possible states of the machine. As an object of study, a mechatronic hydraulic drive is considered an electro-hydraulic motion module, which can be used in feed drives for heavy metal-cutting machines or industrial robots with a large load capacity. An important parametric characteristic of such a drive is the positioning accuracy of the working body, its stability, and the preservation of values within the specified limits over time. A review of the methodology for assessing and predicting the reliability of mechanical systems is carried out. It is noted that several statistical methods require the accumulation of test results for serial models or prototypes, but many important factors may not be taken into account. The purpose of this article is to obtain the results of predicting the parametric reliability of mechatronic hydraulic drives by using the method of expert assessments (rank correlation) at the early stages of design. This method is based on the ability of independent experts (qualified experts in the field) to provide useful information in the face of quantitative uncertainty. When setting the problem of predicting reliability, the factors that affect the positioning accuracy of the hydraulic drive were ranked in order of importance (ranked). An analytical relationship was established between the weight of the factor and its number in the series. The arithmetic mean weight, the mean relative weight, the standard deviation of the factors that affect the parametric reliability of the drive, and the coefficient of variation are determined. The consistency of expert opinions was shown based on heuristic indicators using the concordance coefficient (Kendall criterion). The considered technique can be used to predict and evaluate the reliability of mechatronic systems that are being developed for use in various fields of technology.

Service Oriented Profile Reliability Assessment of an Aviation Mechatronic Servo Actuation System

Due to its complexity and importance, the reliability problems of the mechatronic servo system have become more and more attention. The reliability design method is applied in the design of mechatronic products, which can ensure the high reliability of mechatronic systems. This paper first introduces the application of a mechatronic servo product on the cargo door of a civil aircraft and describes its structure composition, characteristics, service profile, and multi-type life characteristics of components. In this paper, the reliability design compliance of the product is designed and verified from the aspects of reliability modeling, reliability mission profile, reliability prediction, dispatch reliability prediction, and reliability verification, and the data support for operation and maintenance characteristics is provided.

Evaluating thermoset resin substrates for 3D mechatronic integrated devices and packaging

AbstractMiniaturization efforts and increasing demands regarding reliability of mechatronic systems require new materials and processes for the 3D mechatronic integrated devices (3D-MID) technology. Currently, in the area of 3D-MID mostly thermoplastic materials are in use in the industry, which are metallized using the LPKF-LDS® process. This paper is supposed to demonstrate the eligibility of thermoset resins as a new material class for 3D-MID applications and as a packaging option for silicon chips which are currently encapsulated using transfer molding of thermosets. The reliability of the conductor tracks made using a LDS-additive free process as well as the adhesion forces are investigated. Different laser parameters for structuring of two different substrate materials are compared. For reliability testing a thermal shock test is applied. Furthermore, the adhesion is tested using Hot-Pin-Pull testing. The conductor tracks surpass 2000 cycles thermo-mechanical load without showing strong deterioration of the track resistivity. The incorporated approach enables electrically reliable functionalization of packaged dummy chips including vias for connection to terminals on the chips. The results of the tested injection moldable thermoset resins are comparable to state-of-the-art 3D-MID thermoplastic substrates and thus, suited as circuit carrier material in electronic packaging.

Dynamic Bayesian Network for Reliability of Mechatronic System with Taking Account the Multi-Domain Interaction

Abstract This article presents a methodology for reliability prediction during the design phase of mechatronic system considered as an interactive dynamic system. The difficulty in modeling reliability of a mechatronic system is mainly due to failures related to the interaction between the different domains called Multi-domain interaction. Therefore in this paper, after a presentation of the state of the art of mechatronic systems reliability estimation methods, we propose a original approach by representing multi domain interactions by influential factors in the dysfunctional modeled by Dynamic Bayesian Networks. A case study demonstrates the interest of the proposed approach.

Consideration of the reconfigurable aspect in evaluating predictive reliability of mechatronic system

More than a multi-technology fusion, mechatronic systems are becoming more and more complex, these systems can be reconfigured with changes in the environment and states of the functional units, evaluating and improving the reliability of mechatronic system requires to take into account the reconfigurable aspect. This point has become a major challenge for reliability engineers during the design phase. Therefore their dysfunctional modeling is very difficult. This communication presents an original proposed methodology for evaluating the reliability of mechatronic system with taking account the reconfigurable aspect. This reliability model integrates the change of the configuration related to the external and internal conditions.

Evaluating the Predicted Reliability of Mechatronic Systems: State of the Art

Reliability analysis of mechatronic systems is one of the most young field and dynamic branches of research. It is addressed whenever we want reliable, available, and safe systems. The studies of reliability must be conducted earlier during the design phase, in order to reduce costs and the number of prototypes required in the validation of the system. The process of reliability is then deployed throughout the full cycle of development; this process is broken down into three major phases: the predictive reliability, the experimental reliability and operational reliability. The main objective of this article is a kind of portrayal of the various studies enabling a noteworthy mastery of the predictive reliability. The weak points are highlighted, in addition presenting an overview of all approaches existing in quantitative and qualitative modeling and evaluating the reliability prediction is so important for the futures reliability studies, and for academic researches to innovate other new methods and tools. the Mechatronic system is a hybrid system; it is dynamic, reconfigurable, and interactive. The modeling carried out of reliability prediction must take into account these criteria. Several methodologies have been developed in this track of research. In this article, we will try to handle them from a critical angle.

Qualitative and quantitative approaches to analyse reliability of a mechatronic system: a case

The main research intent of this paper is to introduce the use of fault tree analysis (FTA) and failure mode and effects analysis (FMEA) in conjunction to ana- lyse the risk and reliability of a complex mechatronic system in both qualitative and quantitative manner. The major focus is on handling imprecise and vague informa- tion with the help of fuzzy synthesis of information. A complex mechatronic system, i.e. modular automated production system (MAPS), composed of mechanical, electronic, and embedded software subsystems is consid- ered to study the reliability aspects using hybrid FTA. From the results, it is found that the proposed approach models both subjective issues such as human errors along with hardware failures. The in-depth analysis and priori- tizing of failure modes using a risk ranking approach based on fuzzy inference system and grey relation approach not only integrate expert judgment, experience, and expertise in more flexible and realistic manner, but also address the limitations associated with traditional procedure of FMEA.

Mechatronic system reliability modelling and analysis: a graph theoretic approach

This paper presents a unique systems approach for reliability modelling analysis of a mechatronic system. As a first step, a reliability graph, which is useful in visual analysis of reliability interactions among the mechatronic subsystems, is developed. Information stored in this graph is quantified and exported to a reliability variable permanent matrix and finally to a function named Mechatronic Variable Permanent Reliability Function (MVPRF). Reliability analysis of mechatronic systems is done on the basis of MVPRF. A reliability index based on the MVPRF is proposed for reliability evaluation. Coefficient of similarity and dissimilarity useful for a designer in structure and reliability-based comparison of mechatronic systems is proposed. This methodology would be useful for a designer to conduct structure-based reliability analysis of a mechatronic system and also for a maintenance engineer to monitor the health condition of mechatronic system during the service period. The proposed methodology is explained with the help of an illustrative example.

Complex Mechatronic System Reliability Optimization Using Hybrid Genetic Algorithm

Reliability allocation optimization problem of a complex mechatronic system is a highly nonlinear constrained optimization problem, and hence solution to this kind of problem is of NP-hardness even with moderate scale. Due to the nonlinearity combined with multiple local extreme values, traditional optimization techniques fail to arrive at the global or nearly global optimal solution to the problem. Genetic algorithm incorporated with neighboring domain traversal searching technique is utilized in this paper to solve the complex mechatronic system reliability optimization allocation problem. Reliability allocation optimization of the life-support system in a space capsule, being a typical non serial-parallel system, is specifically demonstrated to show the satisfactory convergence performance as well as the important practical value of hybrid genetic algorithm. The simulation results show that the proposed method may gain better precision in solving the complex mechatronic system reliability optimization problem.

AN APPROACH FOR RELIABILITY ESTIMATION AND CONTROL OF MECHATRONIC SYSTEMS

In this paper, an up-to-date method for the estimation and control of the reliability of mechatronic systems and their components modeled in descriptor form is introduced.