Takagi-Sugeno Fuzzy Observer-Based Magnetorheological Damper Fault Diagnosis Using a Support Vector Machine.
Kicheol JeongSeibum B. ChoiPublished in: IEEE Trans. Control. Syst. Technol. (2022)
Keyphrases
- fault diagnosis
- takagi sugeno fuzzy
- support vector machine
- steady state
- expert systems
- neural network
- fault detection
- exponential stability
- fault detection and diagnosis
- fuzzy logic
- operating conditions
- rbf neural network
- rotating machinery
- electronic equipment
- support vector
- feature vectors
- gas turbine
- power transformers
- chemical process
- training data
- machine learning
- monitoring and fault diagnosis
- multiple faults
- support vector machine svm
- condition monitoring
- bp neural network
- multi sensor information fusion
- feature selection
- analog circuits
- support vector regression
- kernel function
- feature space