Advanced Rolling Bearing Fault Diagnosis Using Ensemble Empirical Mode Decomposition, Principal Component Analysis and Probabilistic Neural Network

Advanced Rolling Bearing Fault Diagnosis Using Ensemble Empirical Mode Decomposition, Principal Component Analysis and Probabilistic Neural Network

Aiming at the problem that the vibration signal of the incipient fault is weak, an automatic and intelligent fault diagnosis algorithm combined with ensemble empirical mode decomposition (EEMD), principal component analysis (PCA) and probabilistic neural network (PNN) is proposed for rolling bearing...

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Bibliographic Details
Main Authors: Caixia Gao, Tong Wu, Ziyi Fu
Format: Article
Language:English
Published: Atlantis Press 2018-06-01
Series:Journal of Robotics, Networking and Artificial Life (JRNAL)
Subjects:
Rolling bearing
fault recognition
ensemble empirical modal decomposition
principal component analysis
probabilistic neural network
Online Access:https://www.atlantis-press.com/article/25896464/view

Internet

https://www.atlantis-press.com/article/25896464/view

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