Fault diagnosis based on dependent feature vector and probability neural network for rolling element bearings.
Xiaoyue ChenJianzhong ZhouJian XiaoXinxin ZhangHan XiaoWenlong ZhuWenlong FuPublished in: Appl. Math. Comput. (2014)
Keyphrases
- fault diagnosis
- feature vectors
- neural network
- monitoring and fault diagnosis
- condition monitoring
- bp neural network
- expert systems
- fault detection
- vibration signal
- feature extraction
- power transformers
- fuzzy logic
- rbf neural network
- fault detection and diagnosis
- operating conditions
- feature space
- electronic equipment
- feature set
- support vector machine
- analog circuits
- industrial systems
- chemical process
- rotating machinery
- gas turbine
- multi sensor information fusion
- multiple faults
- mathematical model
- genetic algorithm
- back propagation
- fault detection and isolation
- similarity measure
- artificial intelligence
- electrical power systems
- gabor filters
- failure diagnosis
- neural network model
- fault identification
- tennessee eastman
- machine learning