Development of a diagnosis tool, based on deep learning algorithms and infrared images, applicable to condition monitoring of induction motors under transient regime.
Pau RedonMaria Jose Picazo RodenasJose A. Antonino-DaviuPublished in: IECON (2020)
Keyphrases
- condition monitoring
- infrared images
- fault detection and diagnosis
- fault diagnosis
- fault detection
- learning algorithm
- infrared
- tool wear
- expert systems
- induction motor
- nuclear power plant
- visible light
- scene images
- power transformers
- infrared imagery
- neural network
- acoustic emission
- vibration signal
- artificial intelligence
- image fusion
- image processing
- computer vision
- deep architectures
- genetic algorithm