Reliability Assessment of Competitive Failure Systems Based on Three Parameter Weibull Distribution and Wiener Process Article Swipe
Anqi Shangguan
,
Nan Feng
,
Rong Fei
,
Xinhong Hei
,
Yongze Jin
,
Lingxia Mu
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.17531/ein/199426
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.17531/ein/199426
Considering the competitive failure that exists in the operation of industrial systems, including degradation failure and sudden failure, this paper presents a reliability assessment method based on the three-parameter Weibull distribution and the Wiener process. Nonlinear functions are proposed to establish the relationship between the different failure processes, and the reliability model is derived. The Metropolis-Hastings (MH) sampling algorithm of the Monte Carlo Markov Chain (MCMC) method is employed to estimate the parameters in this study. The reliability assessment results are obtained by the real degradation samples. The results show that the reliability model incorporating the three-parameter Weibull distribution produces more comprehensive and dependable results. Furthermore, MH sampling can solve the issues of complex likelihood functions that cannot directly obtain parameter evaluation results. Additionally, this paper analyzes the sensitivity of the model parameters, thereby offering theoretical support for enhancing the safe operation of the system.
Related Topics
Concepts
Weibull distribution
Reliability (semiconductor)
Markov chain Monte Carlo
Reliability engineering
Importance sampling
Monte Carlo method
Sampling (signal processing)
Sensitivity (control systems)
Failure rate
Nonlinear system
Process (computing)
Wiener process
Computer science
Statistics
Engineering
Mathematics
Power (physics)
Filter (signal processing)
Physics
Electronic engineering
Operating system
Computer vision
Quantum mechanics
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.17531/ein/199426
- https://ein.org.pl/pdf-199426-119841?filename=Reliability Assessment of.pdf
- OA Status
- gold
- References
- 28
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4405802109
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4405802109Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.17531/ein/199426Digital Object Identifier
- Title
-
Reliability Assessment of Competitive Failure Systems Based on Three Parameter Weibull Distribution and Wiener ProcessWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-12-26Full publication date if available
- Authors
-
Anqi Shangguan, Nan Feng, Rong Fei, Xinhong Hei, Yongze Jin, Lingxia MuList of authors in order
- Landing page
-
https://doi.org/10.17531/ein/199426Publisher landing page
- PDF URL
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https://ein.org.pl/pdf-199426-119841?filename=Reliability Assessment of.pdfDirect link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
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goldOpen access status per OpenAlex
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https://ein.org.pl/pdf-199426-119841?filename=Reliability Assessment of.pdfDirect OA link when available
- Concepts
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Weibull distribution, Reliability (semiconductor), Markov chain Monte Carlo, Reliability engineering, Importance sampling, Monte Carlo method, Sampling (signal processing), Sensitivity (control systems), Failure rate, Nonlinear system, Process (computing), Wiener process, Computer science, Statistics, Engineering, Mathematics, Power (physics), Filter (signal processing), Physics, Electronic engineering, Operating system, Computer vision, Quantum mechanicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
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28Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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