Multi-Domain Entropy-Random Forest Method for the Fusion Diagnosis of Inter-Shaft Bearing Faults with Acoustic Emission Signals

Inter-shaft bearing as a key component of turbomachinery is a major source of catastrophic accidents. Due to the requirement of high sampling frequency and high sensitivity to impact signals, AE (Acoustic Emission) signals are widely applied to monitor and diagnose inter-shaft bearing faults. With r...

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Autors principals:	Jing Tian, Lili Liu, Fengling Zhang, Yanting Ai, Rui Wang, Chengwei Fei
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2019-12-01
Col·lecció:	Entropy
Matèries:	multi-domain entropy information entropy random forest inter-shaft bearing fault diagnosis
Accés en línia:	https://www.mdpi.com/1099-4300/22/1/57
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