New Fault Recognition Method for Rotary Machinery Based on Information Entropy and a Probabilistic Neural Network

New Fault Recognition Method for Rotary Machinery Based on Information Entropy and a Probabilistic Neural Network

Feature recognition and fault diagnosis plays an important role in equipment safety and stable operation of rotating machinery. In order to cope with the complexity problem of the vibration signal of rotating machinery, a feature fusion model based on information entropy and probabilistic neural net...

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Bibliographic Details
Main Authors: Quansheng Jiang, Yehu Shen, Hua Li, Fengyu Xu
Format: Article
Language:English
Published: MDPI AG 2018-01-01
Series:Sensors
Subjects:
fault recognition
information entropy
probabilistic neural network
rotary machinery
feature extraction
Online Access:http://www.mdpi.com/1424-8220/18/2/337

Internet

http://www.mdpi.com/1424-8220/18/2/337

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