Power Equipment Fault Diagnosis Model Based on Deep Transfer Learning with Balanced Distribution Adaptation.
Kaijie WangBin WuPublished in: ADMA (2018)
Keyphrases
- fault diagnosis
- transfer learning
- training and test data
- neural network
- knowledge transfer
- fault detection
- labeled data
- fault detection and diagnosis
- expert systems
- machine learning
- operating conditions
- chemical process
- cross domain
- reinforcement learning
- gas turbine
- fuzzy logic
- transfer knowledge
- power transformers
- learning algorithm
- monitoring and fault diagnosis
- electronic equipment
- active learning
- power plant
- semi supervised learning
- data distribution
- text classification
- multiple faults
- machine learning algorithms
- analog circuits
- collaborative filtering
- multi sensor information fusion
- domain adaptation
- text categorization
- feature selection
- target domain
- semi supervised
- feature extraction
- data mining