Rolling Bearing Fault Diagnosis Based on Refined Composite Multi-Scale Approximate Entropy and Optimized Probabilistic Neural Network.
Jianpeng MaZhenghui LiChengwei LiLiwei ZhanGuang-Zhu ZhangPublished in: Entropy (2021)
Keyphrases
- monitoring and fault diagnosis
- probabilistic neural network
- probabilistic neural networks
- fault diagnosis
- multiscale
- neural network
- pattern classification
- self organizing maps
- speaker identification
- particle swarm optimization algorithm
- expert systems
- fault detection
- artificial neural networks
- power plant
- wavelet transform
- edge detection
- extracted features
- pattern recognition
- operating conditions
- fuzzy logic
- decision making
- artificial intelligence
- machine learning