Rotating machinery fault diagnosis based on feature extraction via an unsupervised graph neural network.
Jing FengShouyang BaoXiaobin XuZhenjie ZhangPingzhi HouFelix SteyskalSchahram DustdarPublished in: Appl. Intell. (2023)
Keyphrases
- fault diagnosis
- rotating machinery
- neural network
- feature extraction
- fault detection
- bp neural network
- fuzzy logic
- operating conditions
- expert systems
- electrical power systems
- rbf neural network
- chemical process
- industrial systems
- fault detection and diagnosis
- analog circuits
- condition monitoring
- monitoring and fault diagnosis
- multiple faults
- competitive learning
- fault detection and isolation
- electronic equipment
- feature vectors
- feature selection
- failure diagnosis
- gas turbine
- power transformers
- power plant
- neural network model
- fault identification
- semi supervised
- artificial neural networks
- fault diagnostic
- support vector machine svm
- wavelet transform