Machinery Fault Diagnosis Based on Domain Adaptation to Bridge the Gap Between Simulation and Measured Signals.
Yunxia LouAnil KumarJiawei XiangPublished in: IEEE Trans. Instrum. Meas. (2022)
Keyphrases
- fault diagnosis
- domain adaptation
- expert systems
- fault detection
- cross domain
- neural network
- fault detection and diagnosis
- power transformers
- electronic equipment
- multiple sources
- gas turbine
- monitoring and fault diagnosis
- chemical process
- labeled data
- condition monitoring
- transfer learning
- fuzzy logic
- operating conditions
- semi supervised
- simulation model
- multiple faults
- test data
- vibration signal
- analog circuits
- document classification
- co training
- sentiment classification
- unlabeled data
- semi supervised learning
- target domain
- knn
- multi sensor information fusion
- discrete event
- data sets
- domain specific
- mathematical model
- test cases
- text classification