A multi-modal unsupervised fault detection system based on power signals and thermal imaging via deep AutoEncoder neural network.
Francesco Giuseppe CordoniGianluca BacchiegaGiulio BondaniRobert RaduRiccardo MuradorePublished in: Eng. Appl. Artif. Intell. (2022)
Keyphrases
- multi modal
- fault detection
- fault diagnosis
- neural network
- thermal imaging
- industrial processes
- fault identification
- tennessee eastman
- infrared
- multi modality
- condition monitoring
- fault detection and diagnosis
- vibration signal
- artificial neural networks
- restricted boltzmann machine
- robust fault detection
- high dimensional
- expert systems
- pattern recognition
- failure detection
- deep learning
- fuel cell
- back propagation
- audio visual
- video search
- cross modal
- fuzzy logic
- power plant
- hidden layer
- closed loop
- radial basis function
- computational intelligence
- artificial intelligence
- genetic algorithm