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- W2912989368 abstract "This chapter presents five significant case studies on prognostics and maintenance management to demonstrate the application of the contents of the previous chapters. They are taken from some published papers of the author's research group. In Section 8.1, an application to incipient fault diagnosis and ECG signal analysis is presented, based on an improved Hilbert–Huang transform weak signal detection methodology. Ant colony clustering analysis based on an intelligent fault diagnosis method and its application to rotating machinery are introduced in Section 8.2. BP neural networks-based prognostic methodology and its application are introduced in Section 8.3. In Section 8.4, a performance degradation index is designed using multi-feature fusion techniques to represent the deterioration severities of facilities. In the final section, a novel group-technology-based methodology for maintenance scheduling of a complex series–parallel production system is proposed." @default.
- W2912989368 created "2019-02-21" @default.
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- W2912989368 date "2014-11-18" @default.
- W2912989368 modified "2023-10-17" @default.
- W2912989368 title "Case Studies" @default.
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- W2912989368 doi "https://doi.org/10.1002/9781118638743.ch8" @default.
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