Feature Extraction for Bearing Prognostics and Health Management (PHM) - A Survey (Preprint)
作者： Naresh Iyer , Weizhong Yan , Hai Qiu
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摘要: Abstract : Feature extraction in bearing PHM involves extracting characteristic signatures from the original sensor measurements, which are sensitive to conditions and thus most useful determining faults. The quality of extracted features directly affects performance effectiveness PHM. is therefore a critical component To optimally improve minimize maintenance costs bearings, large amount research has been conducted salient for PHM, leads considerable number feature techniques. Our main effort this paper survey some major techniques explored so far, focusing on more recent advancements. endeavor also includes pointing out advantages disadvantages each those This attempts serve as general reference practitioners guide choosing proper methods systems.
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