Remote Diagnostic System Research Articles

Service Life Prediction and Evaluation of the Technical Condition of Engines Based on Remote Diagnostic System

Service Life Prediction and Evaluation of the Technical Condition of Engines Based on Remote Diagnostic System

Low-Cost Internet of Things Platform for Epilepsy Monitoring Using Real-Time Electroencephalogram

This work is focusing to develop a portable, low-cost remote diagnostic system for developing countries where the current state of health is not in the advanced stage. People with diseases like epilepsy, Alzheimer’s, an extreme turmeric state, or a disorder that makes it difficult to move have been observed. The authors propose a cost-effective remote neurology assessment health care system. To predict epilepsy form electroencephalogram (EEG) signals in real-time. The authors implemented the machine learning model that has been deployed in the raspberry pi micro-controller. The feature extraction stage was carried out in Matlab. The extracted features from the EEG signals were transferred wirelessly to the model deployed in pi raspberry to clearly predict epilepsy and normality cases. The results of the real-time prediction of the trained and deployed model were provided for the remote diagnosis system. The data visualizations can be done on Android/IOS and Matlab desktop.

Heartlogic Heart Failure Index As Covid Index: Predicting Severity Of Covid-19 In Patients With Advanced Heart Failure

Heart Logic heart failure diagnostic is a personalized, remote heart failure diagnostic and monitoring system using multiple, novel physiologic sensors. It has been proven to have high sensitivity and low-alert burden that combines sensor data into one composite index that provides weeks of advance notice for detecting early signs of worsening heart failure. We present two cases, one with non-ischemic cardiomyopathy, the other with ischemic cardiomyopathy. In both cases, patients had reduced ejection fraction status post cardiac resynchronization therapy defibrillator who were monitored with Heart Logic heart failure diagnostics. In the first case, a rapid increase in sensors alarmed us for impending exacerbation of heart failure and retrospective analysis of differentials led us to diagnosis of COVID-19. The patient developed increase in respiratory rate, mean heart rate and S3 component of heart sound while decrease in thoracic impedance, ultimately with increased Index. Patient was admitted, intubated and successfully recovered. Heart Logic Index helped us making the diagnosis in early stage of COVID-19 and manage effectively. We present another case of ischemic cardiomyopathy with reduced ejection fraction awaiting heart transplant due to severe multi vessel coronary artery disease who tested positive for COVID-19 with milder symptoms. He was monitored prospectively to assess changes in Heart Failure Index which remained normal correlating with the milder symptoms from COVID-19 itself. All the indices including S1, S3, respiratory rate and mean heart rate remained normal. Patient recovered without any major residual effects from COVID 19. Hence, heartlogic index could serve as proactive alert tool like a “COVID index” to suspect, correlate with severity of symptoms and monitor the outcome in patients of heart failure diagnosed with COVID-19.

Development of a camera-based remote diagnostic system focused on color reproduction using color charts.

In this paper, we propose a color reproduction method using color charts to improve the color quality of a telemedicine system. Owing to the spread of COVID-19, the need for telemedicine is rapidly increasing to prevent infections more effectively. However, in practices such as traditional Japanese (Kampo) medicine, where color is used as an important examination factor, an accurate diagnosis cannot be made without adequate color reproduction. In telemedicine using a commercially available smartphone, color reproducibility may deteriorate owing to differences in the devices and lighting, which may result in a misdiagnosis. Therefore, we created a color chart that includes the colors of the human skin and tongue as a tool to help doctors identify the color of patients more accurately when conducting a telemedicine examination. Through a subjective evaluation by eight medical doctors, it was unanimously found that the proposed method is practical in terms of a color examination. The developed color chart can also be used for an automatic color correction.

Assessment of the Efficiency of Transformers Technical Condition Monitoring Based on Dissolved Gas Analysis

The method of analysis of gases dissolved in oil is one of the most informative methods for early detection of defects in power oil-filled transformers. This determined its wide application in the practice of off-line and on-line monitoring of transformer equipment. In the article, based on the ratio of weight coefficients used in the calculation of the technical condition index of functional units and equipment units, a method for determining the reliability of oil-filled transformer equipment is proposed. An indicator that characterizes the quantitative measure of the diagnostic value of a single method (group of methods) for monitoring parameters of a power oil-filled transformer in the calculations of the technical condition index is obtained. The efficiency of monitoring the state of a power oil-filled transformer was evaluated based on the results of the analysis of gases dissolved in oil. A quantitative example of calculating the economic effect of increasing the operational reliability of a group of 110 kV power transformers in one of the areas of the distribution network using a remote diagnostic monitoring system based on the analysis of gases dissolved in oil is given

Improvement of the Resilience of a Cyber-Physical Remote Diagnostic Communication System against Cyber Attacks

<div class="section abstract"><div class="htmlview paragraph">In the near future, vehicles will operate autonomously and communicate with their environment. This communication includes Vehicle-to-Vehicle (V2V), Vehicle-to-Infrastructure (V2I) communication, and comunication with cloud-based servers (V2C). To improve the resilience of remote diagnostic communication between a vehicle and external test equipment against cyberattacks, it is imperative to understand and analyze the functionality and vulnerability of each communication system component, including the wired and wireless communication channels.</div><div class="htmlview paragraph">This paper serves as a continuation of the SAE Journal publication on measures to prevent unauthorized access to the in-vehicle E/E system [<span class="xref">9</span>], explains the components of a cyber-physical system (CPS) for remote diagnostic communication, analyzes their vulnerability against cyberattacks and explains measures to improve the resiliance.</div></div>

Developing a Remote Visualization and Diagnostic System for Electric Operating Table

Developing a Remote Visualization and Diagnostic System for Electric Operating Table

Remote Sensing with Internet Based Patient Condition Observing System

<p>This Paper aims to design and demonstrate an innovative web-based remote healthcare diagnostic system that provides vital medical data and live video images of a patient situated in the rural area accessible to a health professional available elsewhere in urban centres resulting in better diagnosis and treatment of that patient.</p>

Remote network control plasma diagnostic system for Tokamak T-10

The parameters of molecular plasma in closed magnetic trap is studied in this paper. Using the system of molecular diagnostics, which was designed by the authors on the «Tokamak T-10» facility, the radiation of hydrogen isotopes at the plasma edge is investigated. The scheme of optical radiation registration within visible spectrum is described. For visualization, identification and processing of registered molecular spectra a new software is developed using MatLab environment. The software also includes electronic atlas of electronic-vibrational-rotational transitions for molecules of protium and deuterium. To register radiation from limiter cross-section a network control system is designed using the means of the Internet/Intranet. Remote control system diagram and methods are given. The examples of web-interfaces for working out equipment control scenarios and viewing of results are provided. After test run in Intranet, the remote diagnostic system will be accessible through Internet.

Functions and Theoretical Basis of Partial Discharge On-Line Monitoring System for High-Voltage Cables

A partial discharge (PD) on-line monitoring and positioning system for high-voltage cables based on double-ended testing technology is developed. The hardware of this system includes a high-frequency current sensor, site PD signal acquisition and PD monitoring server. In order to achieve real-time monitoring and remote diagnostics of the XLPE cable partial discharge status, the designed software system is divided into front-end control system and remote diagnostic system. And finally, the correctness and effectiveness of the system is verified by XLPE cable partial discharge testing.

The Development of Remote Monitoring and Diagnostic System for Electric Vehicles

Electric vehicle, drove by motor, has the advantages of low energy consumption, zero emissions and high comfort. Nowadays, electric vehicle, at home and abroad, have a rapid development. However, we dont effective optimize the vehicle performance and the parts when vehicle is operating. Based on the GPS (Global Position System), 3G(The 3rd Generation Telecommunication), CAN(Controller Area Network) technology, this paper design the remote monitoring and diagnostic system. This paper makes some explanation on the design of remote monitoring and diagnostic system and the function of collecting information, monitoring, storage, fault diagnosis and alarm. Experimental show, this system has the characteristics about good interaction, high real-time, high precision and stability and so on, which can be widely used in vehicle remote monitoring.

Testing of Remote Monitoring Calibration and Diagnostic System for Electric Vehicle

This paper introduces the electric car remote monitoring, calibration test and diagnosis system, which choose Changchun Unicom WCDMA as a medium of communication and hardware-in-loop system of Jilin University as test tools. Collecting operation data of the hardware-in-loop system through the 3g network, the data that verify the remote monitoring and diagnosis function. The marked ECU, which is Mattoon platform, sends commands to vehicle information terminal through the remote calibration software and realizes the function of the remote calibration in real-time monitoring mode.

Study of Remote Monitoring and Diagnostic System for Transformers Based on Multi-Agent Techniques

The development direction of transformer monitoring and diagnosis is remote and intelligent. But the existing systems have the following problems: lack of diagnostic knowledge and methods, poor flexibility etc. To solve these problems, the architecture of a remote monitoring and diagnostic system for transformers based on multi-agent techniques is presented. On the basis of ultra high frequency (UHF) partial discharge (PD), core earth current and dissolved gas analysis (DGA), the hierarchical decomposition model is established. The tasks, functions and structure involved in the collaboration agents are defined. Then, the fusion strategy from multi-experts conclusions is proposed based on diagnostic confidence and weights. In final, the system implementation is described. Some functions of the system have been put into service and worked well.

Design and Implementation of Online Monitoring and Remote Diagnostic System for CNC Machine Tools

With the development of network technology and fault diagnosis technology, monitoring and diagnosis methods for the CNC machine tools had a great change. In this paper, an online monitoring and remote diagnosis system for CNC machine tools was built. The system was consisted of the multi-channel online acquisition system and remote fault diagnosis system. The online acquisition system achieved a real-time monitoring for CNC machine tools. The remote fault diagnosis system provided the management of devices and assistant for experts to analyze data which was uploaded from acquisition system. The system offered real-time state information of CNC machine tools and reduced downtime of machine effectively.

Research and Development of Hybrid Electric Vehicles CAN-Bus Data Monitor and Diagnostic System through OBD-II and Android-Based Smartphones

With the rapid development of the smartphone market, future cars seem to have more connections with intelligent cell phone and Internet. Intelligent transportation system (ITS) and telematics system have become research focus in recent years. There is an increasing demand for remote monitoring and diagnostic system as the further research of hybrid electric vehicle (HEV) goes on. In this paper, a remote controller area network bus (CAN-Bus) data monitor and diagnostic system for HEV is presented using on board diagnostic version-II (OBD-II) and Android-based smartphone. It is low-cost, convenient, and extensible with smartphone used in the system to realize communication with ELM327 and remote monitoring center wirelessly. The prototype of client and server is developed in Java language, and it is proved by the test that the system works stably and the collected data have practical values.

Remote Diagnostic System Based on Video Monitoring of Network Engraving Machining Processing Status

A new diagnostic strategy that based on remote video monitoring by image processing is proposed, through the deployment of video capture device in the processing site, it can obtain the image information of CNC machining tools processing status, achieve real-time monitoring and fault diagnosis of CNC machining tools. Take the network engraving machine as the cut-in point, this paper introduces the general structure, system functions and principle of the remote monitoring and diagnostic system. This system can not only achieve self-test of the network engraving machine fault diagnosis, alarm and shutdown feature, reducing the sudden failure rate and improve equipment utilization, but also monitor a number of distribution engraving machine processing status through remote video monitoring, and ultimately realize the function of unattended processing site, remote centralized supervision.

Research on B/S Mode-Based Rotating Machinery Remote Status Monitoring and Fault Diagnosis System

This paper discusses the composition and structure of B/S mode-based rotating machinery remote status monitoring and fault diagnosis system, builds the system network model, makes detailed introduction of fault diagnosis mode, system hardware composition, software platform and system realization process, and carries out laboratory simulation on the feasibility of remote monitoring diagnostic system.

Remote Diagnosis of Timed I/O-Automata

This paper considers the consistency-based remote diagnosis of discrete-event systems, where the diagnostic task is decomposed into an on- board and an off-board task. The system to be diagnosed is modelled by a new type of timed automata possessing discrete inputs and outputs. Faults are modelled as parameters of the edges and invariants of the automata. A consistency-based diagnostic method is derived for this model class by extending a method developed for timed automata without inputs and outputs. This method can be used for fault detection on the on-board component and for fault identification on the off-board component of the remote diagnostic system. The results are illustrated by an example.

Intelligent Data Reduction Algorithm for Sensor Network based Fault Diagnostic System

In the modern life, machines are used for various areas in industries as the advance of science and industrial development has proceeded. In many machines, the rotating machines play an important role in many processes. Therefore, the development of fault diagnosis and monitoring system for rotating machines is required. An ubiquitous sensor network (USN) is a combination of the key computer science and engineering area technology including the wireless network, embedded system hardware and software, communication, real-time system, etc. It collects environmental information to realize a variety of functions. In this work, a data reduction algorithm for USN based remote fault diagnostic system which can be easily applied to previously built factories is proposed. To verify the feasibility of the proposed scheme, some simulations and experiments are executed.

Online and Remote Motor Energy Monitoring and Fault Diagnostics Using Wireless Sensor Networks

This paper identifies the synergies between wireless sensor networks (WSNs) and nonintrusive electrical-signal-based motor signature analysis and proposes a scheme of applying WSNs in online and remote energy monitoring and fault diagnostics for industrial motor systems. The main scope is to provide a system overview where the nonintrusive nature of the electrical-signal-based motor signature analysis enables its applications in a WSN architecture. Special considerations in designing nonintrusive motor energy monitoring and fault diagnostic methods in such systems are discussed. This paper also provides detailed analyses to address the real-world challenges in designing and deploying WSNs in practice, including wireless-link-quality dynamics, noise and interference, and environmental impact on communication range and reliability. The overall system feasibility is investigated through a series of laboratory experiments and field tests. First, the concept of a remote and online energy monitoring and fault diagnostic system is demonstrated using a simplified star-type IEEE 802.15.4 compliant WSN in the laboratory. Two well-established nonintrusive motor diagnostic algorithms are intentionally used to prove the feasibility. Next, the challenges of applying the proposed WSN scheme in real industrial environments are analyzed experimentally using field test results.