Online Bearing Fault Diagnosis using Support Vector Machine and Stacked Auto-Encoder.
Wentao MaoSiyu TianXihui LiangJianliang HePublished in: ICPHM (2018)
Keyphrases
- fault diagnosis
- monitoring and fault diagnosis
- support vector machine
- neural network
- fault detection
- expert systems
- chemical process
- multiple faults
- bp neural network
- operating conditions
- fault detection and diagnosis
- power transformers
- failure diagnosis
- analog circuits
- electrical power systems
- electronic equipment
- industrial systems
- rbf neural network
- condition monitoring
- fuzzy logic
- multi sensor information fusion
- fault identification
- feature selection
- gas turbine
- training data
- support vector
- kernel function
- soft computing methods
- support vector machine svm
- rotating machinery
- fault tree
- bit rate
- steam turbine
- machine learning
- real time
- feature vectors
- artificial intelligence
- tennessee eastman
- knn