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Early Fault Detection Method for Rotating Machinery Based on Harmonic-Assisted Multivariate Empirical Mode Decomposition and Transfer Entropy

It is a difficult task to analyze the coupling characteristics of rotating machinery fault signals under the influence of complex and nonlinear interference signals. This difficulty is due to the strong noise background of rotating machinery fault feature extraction and weaknesses, such as modal mix...

詳細記述

保存先:
書誌詳細
主要な著者: Zhe Wu, Qiang Zhang, Lixin Wang, Lifeng Cheng, Jingbo Zhou
フォーマット: Artigo
言語:Inglês
出版事項: MDPI AG 2018-11-01
シリーズ:Entropy
主題:
オンライン・アクセス:https://www.mdpi.com/1099-4300/20/11/873
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