| DOI | Resolve DOI: https://doi.org/10.1007/978-3-319-07455-9_21 |
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| Author | Search for: Yang, Chunsheng1; Search for: Lou, Qingfeng; Search for: Liu, Jie; Search for: Yang, Yubin; Search for: Bai, Yun |
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| Affiliation | - National Research Council of Canada
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| Format | Text, Book Chapter |
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| Conference | 27th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems (IEA/AIE 2014), June 3-6, 2014, Kaohsiung, Taiwan |
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| Subject | intelligent systems; machinery; maintenance; Monte Carlo methods; systems engineering; APU starter prognostics; condition-based maintenance (CBM); data-driven prognostics; particle filter (PF); remaining useful cycle (RUC); auxiliary power systems |
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| Abstract | Particle filter (PF)-based method has been widely used for machinery condition-based maintenance (CBM), in particular, for prognostics. It is employed to update the nonlinear prediction model for forecasting system states. In this work, we applied PF techniques to Auxiliary Power Unit (APU) prognostics for estimating remaining useful cycle to effectively perform APU health management. After introducing the PF-based prognostic method and algorithms, the paper presents the implementation for APU Starter prognostics along with the experimental results. The results demonstrated that the developed PF-based method is useful for estimating remaining useful cycle for a given failure of a component or a subsystem. |
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| Publication date | 2014 |
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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 | 21272785 |
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| Export citation | Export as RIS |
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| Report a correction | Report a correction (opens in a new tab) |
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| Record identifier | 9e96282c-ed22-4ec2-b2dd-114de197bf15 |
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| Record created | 2014-12-03 |
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| Record modified | 2020-06-18 |
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