Fault diagnosis for machinery based on feature extraction and general regression neural network.
Haiping LiJianmin ZhaoXianglong NiXinghui ZhangPublished in: Int. J. Syst. Assur. Eng. Manag. (2018)
Keyphrases
- fault diagnosis
- general regression neural network
- neural network
- feature extraction
- fault detection and diagnosis
- expert systems
- fault detection
- multiple faults
- analog circuits
- bp neural network
- power transformers
- operating conditions
- monitoring and fault diagnosis
- electronic equipment
- feature vectors
- rbf neural network
- multi sensor information fusion
- fault identification
- electrical power systems
- feature selection
- fault detection and isolation
- failure diagnosis
- wavelet transform
- image processing
- frequency domain
- gas turbine
- face recognition
- feature space
- extracted features
- fuzzy logic
- power plant
- industrial systems
- rotating machinery
- artificial intelligence
- genetic algorithm
- fault diagnostic
- real time
- decision making
- condition monitoring
- artificial neural networks
- feature set
- support vector machine svm