An ensemble motor bearing fault diagnosis approach based on LMD feature extraction.
Qing YangLin ChenYe LiDongsheng WuPublished in: ICSPCC (2017)
Keyphrases
- fault diagnosis
- monitoring and fault diagnosis
- feature extraction
- neural network
- feature selection
- fault detection
- expert systems
- bp neural network
- chemical process
- condition monitoring
- multiple faults
- operating conditions
- fault detection and diagnosis
- gas turbine
- multi sensor information fusion
- face recognition
- fuzzy logic
- control system
- extracted features
- failure diagnosis
- wavelet transform
- rotating machinery
- electronic equipment
- electrical power systems
- feature vectors
- analog circuits
- industrial systems
- power plant
- image processing
- gabor filters
- support vector machine svm
- feature space
- fault identification
- learning algorithm
- frequency domain
- training set
- power transformers
- rbf neural network
- fault detection and isolation
- fuzzy sets
- feature set
- multiresolution
- steam turbine
- support vector