Research on Rolling Bearing On-Line Fault Diagnosis Based on Multi-dimensional Feature Extraction.
Tianwen ZhangPublished in: CSPS (2) (2018)
Keyphrases
- monitoring and fault diagnosis
- fault diagnosis
- multi dimensional
- feature extraction
- expert systems
- neural network
- fault detection and diagnosis
- fuzzy logic
- fault detection
- electronic equipment
- bp neural network
- power transformers
- operating conditions
- rbf neural network
- industrial systems
- extracted features
- face recognition
- feature selection
- fault identification
- feature vectors
- multiple faults
- steam turbine
- rotating machinery
- feature space
- condition monitoring
- vibration signal
- image processing
- multi sensor information fusion
- machine learning
- artificial intelligence
- fault detection and isolation
- feature set
- chemical process
- power plant
- wavelet transform
- real time
- gabor filters
- support vector machine svm