Comparison of acoustic signal-based fault detection of mechanical faults in induction motors using image classification models.
Gullu BoztasPublished in: Trans. Inst. Meas. Control (2023)
Keyphrases
- fault detection
- fault detection and diagnosis
- classification models
- fault diagnosis
- fault identification
- industrial processes
- acoustic signal
- fault detection and isolation
- condition monitoring
- image classification
- tennessee eastman
- image features
- robust fault detection
- power plant
- induction motor
- training data
- decision trees
- feature selection
- neural network
- fuel cell
- similarity measure
- data sets
- feature set
- artificial neural networks
- genetic algorithm
- fault isolation
- machine learning
- data mining
- real time