A Multiscale Similarity Ensemble Methodology for Remaining Useful Life Prediction in Multiple Fault Modes

A Multiscale Similarity Ensemble Methodology for Remaining Useful Life Prediction in Multiple Fault Modes

Traditional similarity-based methods generally ignore the diversity of equipment fault modes, the difference in degradation rates, and the inconsistency among monitoring data lengths. Thus, a similarity-based multi-scale ensemble method in multiple fault modes (MFM-MSEN) is proposed to improve remai...

書誌詳細
第一著者:	SHU Junqing, XU Yuhui, XIA Tangbin, PAN Ershun, XI Lifeng
フォーマット:	論文
言語:	zho
出版事項:	Editorial Office of Journal of Shanghai Jiao Tong University 2022-05-01
シリーズ:	Shanghai Jiaotong Daxue xuebao
主題:	remaining useful life (rul) fault mode identification multiscale ensemble strategy kernel density estimation similarity-based method
オンライン･アクセス:	http://xuebao.sjtu.edu.cn/article/2022/1006-2467/1006-2467-56-5-564.shtml

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