Applications of Unsupervised Deep Transfer Learning to Intelligent Fault Diagnosis: A Survey and Comparative Study.
Zhibin ZhaoQiyang ZhangXiaolei YuChuang SunShibin WangRuqiang YanXuefeng ChenPublished in: IEEE Trans. Instrum. Meas. (2021)
Keyphrases
- comparative study
- fault diagnosis
- transfer learning
- industrial systems
- manifold alignment
- semi supervised
- labeled data
- expert systems
- neural network
- semi supervised learning
- knowledge transfer
- fault detection
- active learning
- machine learning
- text classification
- reinforcement learning
- unsupervised learning
- power transformers
- cross domain
- electronic equipment
- chemical process
- domain adaptation
- operating conditions
- analog circuits
- supervised learning
- fault detection and diagnosis
- multi task
- fuzzy logic
- transfer knowledge
- gas turbine
- text categorization
- multiple faults
- rotating machinery
- collaborative filtering
- target domain
- monitoring and fault diagnosis
- data sets
- machine learning algorithms
- unlabeled data
- intelligent systems
- genetic algorithm
- support vector
- multi sensor information fusion