Fault diagnosis of rotating machinery components using a deep kernel extreme learning machine under different working conditions
Author:
Funder
Henan Natural Science Foundation
National Natural Science Foundation of China
Publisher
IOP Publishing
Subject
Applied Mathematics,Instrumentation,Engineering (miscellaneous)
Link
https://iopscience.iop.org/article/10.1088/1361-6501/ab9037/pdf
Reference40 articles.
1. Artificial intelligence for fault diagnosis of rotating machinery: A review
2. Motor Bearing Fault Diagnosis Using Trace Ratio Linear Discriminant Analysis
3. Fault diagnosis of rolling bearings using a genetic algorithm optimized neural network
4. Application of empirical mode decomposition and artificial neural network for automatic bearing fault diagnosis based on vibration signals
5. Automatic diagnosis method for structural fault of rotating machinery based on distinctive frequency components and support vector machines under varied operating conditions
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