Modelling of Fault Detection and Diagnostics for Hybrid Bus Using Chain Graph Models

Flaccadoro, Diana; Cervellera, Cristiano; Bosia, Giorgio; Riccomagno, Eva

doi:10.1002/qre.1691

Cited by 4 publications

(4 citation statements)

References 20 publications

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“…Naturally, CGs are suitable for describing behaviors of complex systems. For example, a CG framework was developed by Reference [ 161 ] to detect faults in electrical systems.…”

Section: Applications Of Qualitative Ifd Approach In High-speed Trmentioning

confidence: 99%

A Review of Intelligent Fault Diagnosis for High-Speed Trains: Qualitative Approaches

Cheng

Wang

Chen

et al. 2020

Entropy

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For ensuring the safety and reliability of high-speed trains, fault diagnosis (FD) technique plays an important role. Benefiting from the rapid developments of artificial intelligence, intelligent FD (IFD) strategies have obtained much attention in the field of academics and applications, where the qualitative approach is an important branch. Therefore, this survey will present a comprehensive review of these qualitative approaches from both theoretical and practical aspects. The primary task of this paper is to review the current development of these qualitative IFD techniques and then to present some of the latest results. Another major focus of our research is to introduce the background of high-speed trains, like the composition of the core subsystems, system structure, etc., based on which it becomes convenient for researchers to extract the diagnostic knowledge of high-speed trains, where the purpose is to understand how to use these types of knowledge. By reasonable utilization of the knowledge, it is hopeful to address various challenges caused by the coupling among subsystems of high-speed trains. Furthermore, future research trends for qualitative IFD approaches are also presented.

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“…Naturally, CGs are suitable for describing behaviors of complex systems. For example, a CG framework was developed by Reference [ 161 ] to detect faults in electrical systems.…”

Section: Applications Of Qualitative Ifd Approach In High-speed Trmentioning

confidence: 99%

A Review of Intelligent Fault Diagnosis for High-Speed Trains: Qualitative Approaches

Cheng

Wang

Chen

et al. 2020

Entropy

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“…On the other hand, black‐box testing is performed on the system itself during runtime, only by checking whether the system behaves as expected and without knowledge of the internal structure 8 . Fault detection is performed for identifying the probability of anomalies occurring during the software execution 9 . The availability of the programming code, the complexity of the system and the number of technologies used for its development all pose very important factors for the choice of the testing technique type which will be used for its verification and validation.…”

Section: Introductionmentioning

confidence: 99%

“…8 Fault detection is performed for identifying the probability of anomalies occurring during the software execution. 9 The availability of the programming code, the complexity of the system and the number of technologies used for its development all pose very important factors for the choice of the testing technique type which will be used for its verification and validation. Black-box testing is more suited for complex systems with multiple subsystems developed by using different technologies, or in cases where parts of the systems are legacy or domain-specific, requiring specialized testers.…”

Section: Introductionmentioning

confidence: 99%

Usage of cause‐effect graphs for reliability analysis of an embedded IoT alarm software system

Cogo,

Karabegović

et al. 2024

Quality & Reliability Eng

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Software is a part of most complex systems used for different purposes in today's world. The reliability of these systems must be verified before putting them to use, because their malfunction may lead to catastrophic failure, the loss of human lives, or huge costs. Software reliability can be verified by performing black‐box testing, without knowledge of the complex internal structure of these systems. In this work, an embedded IoT alarm system for detection of intruders and potential robbery is proposed. It is composed of three subsystems: embedded IoT, web‐server, and mobile phone subsystems. Cause‐effect graphing technique was applied for generating three types of black‐box test suites, by using the forward‐propagation and two different minimization algorithms. These test suites were used for black‐box testing the system, which was performed after injecting a maximum of 12 faults into the system in 100 iterations. The resulting software quality and reliability metrics showed that the forward‐propagation algorithm always achieves maximum fault detection rate (FDR), and this algorithm should be used when the highest demand for reliability must be met. The optimized minimization should only be used in cases where testing is very expensive, because it did not find faults in all testing iterations. The basic optimization retained high FDR, while reducing the impact of the minimized test suite and achieved a significant increase of test effect coverage values.

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“…In engineering, quality and reliability are critical for a system or its component, such as complex medical devices in the hospital, 1 the engine in a car system, 2, 3 and the rechargeable battery in an equipment 4, 5 . An effective anomaly detection system can improve the quality and reliability of these components during operation 6 .…”

Section: Introductionmentioning

confidence: 99%

Anomaly detection of aircraft lead‐acid battery

Zhao

Zhang

Zhu

et al. 2020

Quality & Reliability Eng

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The lead‐acid battery has been widely used in various fields. In civil aviation aircraft, it plays a vital role in the power system to maintain normal operation during the flight mission. Thus, an effective abnormal detection system for monitoring and diagnosing the status of aircraft lead‐acid battery is essential to ensure its safety and reliability. This paper aims to effectively identify aircraft battery faulty using unsupervised anomaly detection techniques. It introduces state‐of‐the‐art anomaly detection algorithms and evaluates their performance on a large real civil aviation battery data. The experimental results show that the latest isolation‐based anomaly detectors, iForest and iNNE, have outstanding performance on this task and have promising applicability as efficient methods for guaranteeing the lead‐acid battery quality and reliability in civil aviation aircraft.

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Modelling of Fault Detection and Diagnostics for Hybrid Bus Using Chain Graph Models

Cited by 4 publications

References 20 publications

A Review of Intelligent Fault Diagnosis for High-Speed Trains: Qualitative Approaches

A Review of Intelligent Fault Diagnosis for High-Speed Trains: Qualitative Approaches

Usage of cause‐effect graphs for reliability analysis of an embedded IoT alarm software system

Anomaly detection of aircraft lead‐acid battery

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