Dual-Mode Noise-Reconstructed EMD for Weak Feature Extraction and Fault Diagnosis of Rotating Machinery

The meaningful data-based fault diagnosis is beforehand revealing the potential faults to reduce the costly breakdowns, one challenging of which is extracting the weak features from the complicated signals. Ensemble noise-reconstructed EMD (ENEMD) is an intelligent method by the nice integration of...

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Bibliografiske detaljer

Principais autores:	Jing Yuan, Huiming Jiang, Qian Zhao, Chong Xu, Haijiang Liu, Yongxiang Tian
Format:	Artigo
Sprog:	Inglês
Udgivet:	IEEE 2019-01-01
Serier:	IEEE Access
Fag:	Empirical mode decomposition noise reconstruction weak fault feature rotating machinery
Online adgang:	https://ieeexplore.ieee.org/document/8918089/
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