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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...

Ausführliche Beschreibung

Gespeichert in:
Hauptverfasser: Jing Tian, Lili Liu, Fengling Zhang, Yanting Ai, Rui Wang, Chengwei Fei
Format: Artigo
Sprache:Inglês
Veröffentlicht: MDPI AG 2019-12-01
Schriftenreihe:Entropy
Schlagworte:
multi-domain entropy
information entropy
random forest
inter-shaft bearing
fault diagnosis
Online-Zugang:https://www.mdpi.com/1099-4300/22/1/57
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