Digital-twin assisted: Fault diagnosis using deep transfer learning for machining tool condition.
Bakkiam David DeebakFadi M. Al-TurjmanPublished in: Int. J. Intell. Syst. (2022)
Keyphrases
- fault diagnosis
- transfer learning
- expert systems
- knowledge transfer
- fault detection
- neural network
- chemical process
- fault detection and diagnosis
- labeled data
- electronic equipment
- cross domain
- collaborative filtering
- active learning
- reinforcement learning
- fuzzy logic
- multiple faults
- rotating machinery
- operating conditions
- gas turbine
- machine learning
- analog circuits
- condition monitoring
- monitoring and fault diagnosis
- text categorization
- power transformers
- transfer knowledge
- text classification
- machine learning algorithms
- target domain
- multi task
- decision making
- support vector
- artificial intelligence
- learning algorithm