A Precise Diagnosis Method of Structural Faults of Rotating Machinery based on Combination of Empirical Mode Decomposition, Sample Entropy, and Deep Belief Network

To precisely diagnose the rotating machinery structural faults, especially structural faults under low rotating speeds, a novel scheme based on combination of empirical mode decomposition (EMD), sample entropy, and deep belief network (DBN) is proposed in this paper. EMD can decompose a signal into...

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Egile Nagusiak:	Zhaoyi Guan, Zhiqiang Liao, Ke Li, Peng Chen
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	MDPI AG 2019-01-01
Saila:	Sensors
Gaiak:	rotating machinery structural faults symptom parameters precise diagnosis deep learning
Sarrera elektronikoa:	https://www.mdpi.com/1424-8220/19/3/591
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