Unsupervised Deep Transfer Learning for Intelligent Fault Diagnosis: An Open Source and Comparative Study.
Zhibin ZhaoQiyang ZhangXiaolei YuChuang SunShibin WangRuqiang YanXuefeng ChenPublished in: CoRR (2019)
Keyphrases
- comparative study
- fault diagnosis
- transfer learning
- industrial systems
- manifold alignment
- labeled data
- semi supervised
- neural network
- expert systems
- semi supervised learning
- knowledge transfer
- machine learning
- fault detection
- fault detection and diagnosis
- operating conditions
- supervised learning
- collaborative filtering
- cross domain
- fuzzy logic
- electronic equipment
- domain adaptation
- active learning
- unsupervised learning
- gas turbine
- power transformers
- multiple faults
- chemical process
- reinforcement learning
- text categorization
- intelligent systems
- analog circuits
- multi sensor information fusion
- transfer knowledge
- text classification
- text mining
- machine learning algorithms
- rotating machinery
- target domain
- unlabeled data
- data sets
- artificial intelligence
- monitoring and fault diagnosis
- data analysis
- case study