| DOI | Resolve DOI: https://doi.org/10.1007/978-3-319-19066-2_67 |
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| Author | Search for: Yang, Chunsheng1; Search for: Lou, Qingfeng; Search for: Liu, Jie; Search for: Gou, Hongyu2; Search for: Bai, Yun |
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| Name affiliation | - National Research Council of Canada. Information and Communication Technologies
- National Research Council of Canada
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| Format | Text, Book chapter |
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| Conference | 28th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems (IEA/AIE 2015), June 10-12, 2015, Seoul, South Korea |
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| Subject | particle filter (PF); remaining useful life (RUL); predictive maintenance (PM); predictive model; APU starter prognostics |
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| Abstract | Estimation of remaining useful life (RUL) plays a vital role in performing predictive maintenance for complex systems today. However, it still remains a challenge. To address this issue, we propose a Particle filter (PF)- based method to estimate remaining useful life for predictive maintenance by employing PF technique to update the nonlinear predictive models for forecasting system states. In particular, we applied PF techniques to estimate remaining useful life by integrating data-driven modeling techniques in order to effectively perform predictive maintenance. After introducing the PF-based algorithm, the paper presents the implementation along with the experimental results through a case study of Auxiliary Power Unit (APU) starter prognostics. The results demonstrated that the developed method is useful for estimating RUL for predictive maintenance. |
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| Publication date | 2015-05-01 |
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| Publisher | Springer International Publishing |
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| In | |
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| Series | |
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| Language | English |
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| Peer reviewed | Yes |
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| NPARC number | 21276982 |
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| Export citation | Export as RIS |
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| Report a correction | Report a correction |
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| Record identifier | 89c8f0e2-94c6-42e0-acec-34f6d7a605aa |
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| Record created | 2015-11-10 |
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| Record modified | 2020-06-11 |
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