Highly Accurate Machine Fault Diagnosis Using Deep Transfer Learning.
Siyu ShaoStephen McAleerRuqiang YanPierre BaldiPublished in: IEEE Trans. Ind. Informatics (2019)
Keyphrases
- highly accurate
- fault diagnosis
- transfer learning
- expert systems
- fault detection
- neural network
- labeled data
- knowledge transfer
- active learning
- fuzzy logic
- high accuracy
- transfer knowledge
- collaborative filtering
- cross domain
- monitoring and fault diagnosis
- fault detection and diagnosis
- high quality
- electronic equipment
- vibration signal
- reinforcement learning
- machine learning
- operating conditions
- power transformers
- analog circuits
- text categorization
- rotating machinery
- multi task
- semi supervised learning
- multiple faults
- chemical process
- gas turbine
- condition monitoring
- domain adaptation
- text classification
- multi sensor information fusion
- learning algorithm
- feature selection
- unlabeled data
- semi supervised
- data sets
- high dimensional
- machine learning algorithms