Fault Diagnosis for Rotating Machinery Using Multiscale Permutation Entropy and Convolutional Neural Networks.
Hongmei LiJinying HuangXiwang YangJia LuoLidong ZhangYu PangPublished in: Entropy (2020)
Keyphrases
- rotating machinery
- fault diagnosis
- convolutional neural networks
- multiscale
- fault detection
- convolutional network
- operating conditions
- fault detection and diagnosis
- expert systems
- neural network
- bp neural network
- wavelet transform
- condition monitoring
- electronic equipment
- image processing
- fuzzy logic
- fault identification
- edge detection
- image segmentation
- power transformers
- gas turbine
- industrial systems
- rbf neural network
- analog circuits
- chemical process
- multiple faults
- fault detection and isolation
- monitoring and fault diagnosis
- fault diagnostic
- wavelet coefficients
- genetic algorithm
- high frequency
- fault tree
- electrical power systems
- intelligent systems