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...
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| 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
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| シリーズ: | Shanghai Jiaotong Daxue xuebao |
| 主題: | |
| オンライン･アクセス: | http://xuebao.sjtu.edu.cn/article/2022/1006-2467/1006-2467-56-5-564.shtml |