The belief reliability analysis of composite insulators with uncertain failure threshold

Shi, Haiyan; Wei, Chun; Zhang, Zhiqiang; Liu, Baoliang; Wen, Yanqing

doi:10.1016/j.apm.2021.07.038

Cited by 7 publications

(4 citation statements)

References 28 publications

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“…Series systems [13,78,81,84,[98][99][100][101], parallel systems [13,81,84,[98][99][100][101], series-parallel hybrid systems [81,[99][100][101][102], cold standby systems [99,101,[103][104][105], warm standby systems [103], k-out-of-n systems [84,100,106-109], bridge systems [85,110], general configurations and algorithms [78,81,100,110] Fault tree analysis Minimal cut set theorem [13,84], analysis algorithm [84] Importance index Uncertain system [108,111], uncertain random system [112] Belief reliability analysis of systems with degradation-shock dependency Uncertain degradation with random shock arrival time and uncertain shock size [113,114], uncertain degradation with uncertain shock [115][116][117][118], degradation-shock dependency with a change point …”

Section: Methodsmentioning

confidence: 99%

Belief Reliability: A Scientific Exploration of Reliability Engineering

Zhang,

Li,

et al. 2024

J. of Syst. Eng. Electron.

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This paper systematically introduces and reviews a scientific exploration of reliability called the belief reliability. Beginning with the origin of reliability engineering, the problems of present theories for reliability engineering are summarized as a query, a dilemma, and a puzzle. Then, through philosophical reflection, we introduce the theoretical solutions given by belief reliability theory, including scientific principles, basic equations, reliability science experiments, and mathematical measures. The basic methods and technologies of belief reliability, namely, belief reliability analysis, function-oriented belief reliability design, belief reliability evaluation, and several newly developed methods and technologies are sequentially elaborated and overviewed. Based on the above investigations, we summarize the significance of belief reliability theory and make some prospects about future research, aiming to promote the development of reliability science and engineering.

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Section: Methodsmentioning

confidence: 99%

Belief Reliability: A Scientific Exploration of Reliability Engineering

Zhang,

Li,

et al. 2024

J. of Syst. Eng. Electron.

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“…Applying belief reliability, Zhang et al 71 proposed a new formal analytical method termed function, performance, and margin analysis (FPMA) to clarify the relationship between product function and performance, as well as identify critical performance parameters and thresholds. Applying failure mechanisms and belief reliability, Shi et al 72 established a reliability model of the dependent competitive failure process of composite insulators. Yang et al 73 developed a travel time belief reliability that incorporated the influences of epistemic and random uncertainties on reliability to measure the travel time reliability of urban road networks.…”

Section: Non-strict Probabilistic Metrics-based Ramentioning

confidence: 99%

“…proposed a new formal analytical method termed function, performance, and margin analysis (FPMA) to clarify the relationship between product function and performance, as well as identify critical performance parameters and thresholds. Applying failure mechanisms and belief reliability, Shi et al 72 . established a reliability model of the dependent competitive failure process of composite insulators.…”

Section: The Latest Developments In Reliability Analysis For Complex ...mentioning

confidence: 99%

Reliability analysis of complex electromechanical systems: State of the art, challenges, and prospects

Wang

Zhang

et al. 2022

Quality & Reliability Eng

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As the core foundation of reliability engineering and one of the most crucial aspects of general quality, reliability has been attracting increasing attention from industry and academia. Numerous publications on reliability analysis (RA) have appeared in academic journals, conference proceedings, and technical reports. However, there has not been a systematic summary that covers RA data, models, methods, indicators, and software comprehensively. To fill this gap, this paper analyzed the challenges and the state of the art, as well as determined the future prospects for research on RA. This paper introduces the features of modern complex electromechanical systems (CES), then summarizes the current challenges to the RA of CES. Next, it reviews the latest developments, such as reliability theories, models, methods, and software, then summarizes and compares their advantages and limitations. Finally, it discusses future prospects from the perspectives of reliability data, modeling, decoupling, evaluation indicators, and timely prediction. It is expected that this paper would serve as an introduction to RA for researchers new to this field and as a summary of the current frontiers of RA for experienced researchers.

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“…Cao et al (2019) regarded the life of the components in the discrete-time series-parallel system as uncertain variables and used uncertainty theory to study the reliability and average failure time of the system. Shi et al (2021) believed that the failure thresholds of composite insulators are uncertain variables.…”

Section: Introductionmentioning

confidence: 99%

Reliability assessment with uncertain thresholds considering degradation and shock

Wei,

Shi,

Zhang

et al. 2023

Soft Comput

Self Cite

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There are often many reasons for equipment failure. When the performance of a certain aspect drops to a certain threshold, the equipment will fail. Affected by other factors, the threshold is uncertain. A reliability model of uncertain thresholds where degradation and external shocks compete with each other is established, and the reliability of the model are evaluated according to uncertainty theory. Under three different shock types, the reliability of the equipment is obtained. The reliability with uncertain thresholds and the reliability with constants thresholds are compared. The results show that in different periods of equipment operation, the reliability of the uncertain thresholds is different with the reliability of the constants thresholds. If the threshold is simply regarded as a known constant, it will cause inaccuracies in the reliability assessment of the system, and miss the best maintenance time, causing unnecessary losses. Taking the microelectronic mechanical system as an example, the superiority of the proposed model is illustrated.

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The belief reliability analysis of composite insulators with uncertain failure threshold

Cited by 7 publications

References 28 publications

Belief Reliability: A Scientific Exploration of Reliability Engineering

Belief Reliability: A Scientific Exploration of Reliability Engineering

Reliability analysis of complex electromechanical systems: State of the art, challenges, and prospects

Reliability assessment with uncertain thresholds considering degradation and shock

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