The Potentiality of Integrating Model-Based Residuals and Machine-Learning Classifiers: An Induction Motor Fault Diagnosis Case.
Widagdo PurbowaskitoChen-Yang LanKenny FuhPublished in: IEEE Trans. Ind. Informatics (2024)
Keyphrases
- fault diagnosis
- fault detection and diagnosis
- induction motor
- machine learning
- expert systems
- neural network
- decision trees
- fault detection
- fuzzy logic
- chemical process
- feature selection
- closed loop
- multiple faults
- monitoring and fault diagnosis
- operating conditions
- rbf neural network
- gas turbine
- bp neural network
- control scheme
- power transformers
- pattern recognition
- rotating machinery
- training set
- training data
- learning algorithm
- power plant
- simulation model
- analog circuits
- support vector
- single phase
- multi sensor information fusion
- decision making
- support vector machine
- fuzzy controller
- real time