New Fault Recognition Method for Rotary Machinery Based on Information Entropy and a Probabilistic Neural Network
Author:
Publisher
MDPI AG
Subject
Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry
Link
http://www.mdpi.com/1424-8220/18/2/337/pdf
Reference34 articles.
1. Application of an improved kurtogram method for fault diagnosis of rolling element bearings
2. Deep Fault Recognizer: An Integrated Model to Denoise and Extract Features for Fault Diagnosis in Rotating Machinery
3. The structure healthy condition monitoring and fault diagnosis methods in wind turbines: A review
4. Fault diagnosis of hydraulic piston pumps based on a two-step EMD method and fuzzy C-means clustering
5. Wavelet transform based on inner product in fault diagnosis of rotating machinery: A review
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