A review of fault diagnosis methods for rotating machinery.
Zhenjin ShiYueyang LiShuai LiuPublished in: ICCA (2020)
Keyphrases
- fault diagnosis
- rotating machinery
- fault detection
- neural network
- soft computing methods
- genetic algorithm
- case study
- artificial neural networks
- soft computing
- failure diagnosis
- rbf neural network
- electrical power systems
- multiple faults
- chemical process
- fault detection and diagnosis
- power transformers
- data mining techniques
- machine learning
- data mining