A Stochastic Deterioration Process Based Approach for Micro Switches Remaining Useful Life Estimation Article Swipe
Bangcheng Zhang
,
Yubo Shao
,
Zhenchen Chang
,
Zhongbo Sun
,
Yuankun Sui
·
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.3390/app9030613
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.3390/app9030613
Real-time prediction of remaining useful life (RUL) is one of the most essential works in prognostics and health management (PHM) of the micro-switches. In this paper, a linear degradation model based on an inverse Kalman filter to imitate the stochastic deterioration process is proposed. First, Bayesian posterior estimation and expectation maximization (EM) algorithm are used to estimate the stochastic parameters. Second, an inverse Kalman filter is delivered to solve the errors in the initial parameters. In order to improve the accuracy of estimating nonlinear data, the strong tracking filtering (STF) method is used on the basis of Bayesian updating Third, the effectiveness of the proposed approach is validated on an experimental data relating to micro-switches for the rail vehicle. Additionally, it proposes another two methods for comparison to illustrate the effectiveness of the method with an inverse Kalman filter in this paper. In conclusion, a linear degradation model based on an inverse Kalman filter shall deal with errors in RUL estimation of the micro-switches excellently.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/app9030613
- https://www.mdpi.com/2076-3417/9/3/613/pdf?version=1550052669
- OA Status
- gold
- Cited By
- 2
- References
- 31
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2911925553
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Raw OpenAlex JSON
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https://openalex.org/W2911925553Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3390/app9030613Digital Object Identifier
- Title
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A Stochastic Deterioration Process Based Approach for Micro Switches Remaining Useful Life EstimationWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2019Year of publication
- Publication date
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2019-02-12Full publication date if available
- Authors
-
Bangcheng Zhang, Yubo Shao, Zhenchen Chang, Zhongbo Sun, Yuankun SuiList of authors in order
- Landing page
-
https://doi.org/10.3390/app9030613Publisher landing page
- PDF URL
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https://www.mdpi.com/2076-3417/9/3/613/pdf?version=1550052669Direct link to full text PDF
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goldOpen access status per OpenAlex
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https://www.mdpi.com/2076-3417/9/3/613/pdf?version=1550052669Direct OA link when available
- Concepts
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Kalman filter, Extended Kalman filter, Computer science, Bayesian probability, Expectation–maximization algorithm, Inverse, Algorithm, Control theory (sociology), Mathematical optimization, Mathematics, Maximum likelihood, Artificial intelligence, Statistics, Control (management), GeometryTop concepts (fields/topics) attached by OpenAlex
- Cited by
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2Total citation count in OpenAlex
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2024: 1, 2022: 1Per-year citation counts (last 5 years)
- References (count)
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31Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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