Metrological Characterization of a Clip Fastener assembly fault detection system based on Deep Learning.
Vincenzo GalloIrida ShallariMarco CarratuMattias O'NilsPublished in: I2MTC (2023)
Keyphrases
- fault detection
- deep learning
- fault diagnosis
- industrial processes
- fault identification
- unsupervised feature learning
- unsupervised learning
- tennessee eastman
- machine learning
- failure detection
- fuel cell
- robust fault detection
- neural network
- mental models
- weakly supervised
- power plant
- decision support system
- pairwise
- decision making
- automatic extraction
- pattern recognition
- genetic algorithm
- data mining