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

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...

Full description

Bibliographic Details
Main Authors: Jing Tian, Lili Liu, Fengling Zhang, Yanting Ai, Rui Wang, Chengwei Fei
Format: Article
Language:English
Published: MDPI AG 2019-12-01
Series:Entropy
Subjects:
multi-domain entropy
information entropy
random forest
inter-shaft bearing
fault diagnosis
Online Access:https://www.mdpi.com/1099-4300/22/1/57

Internet

https://www.mdpi.com/1099-4300/22/1/57

Similar Items