Improved Deep Transfer Auto-Encoder for Fault Diagnosis of Gearbox Under Variable Working Conditions With Small Training Samples.
Zhiyi HeHaidong ShaoXiaoyang ZhangJunsheng ChengYu YangPublished in: IEEE Access (2019)
Keyphrases
- fault diagnosis
- training samples
- operating conditions
- neural network
- expert systems
- feature space
- training set
- training data
- small number of samples
- fault detection and diagnosis
- learning algorithm
- test sample
- number of training samples
- fuzzy logic
- gas turbine
- fault detection
- high dimensional
- condition monitoring
- power transformers
- bp neural network
- monitoring and fault diagnosis
- supervised learning
- chemical process
- analog circuits
- rotating machinery
- class distribution
- electronic equipment
- power plant
- base classifiers
- multiple faults
- face images
- transfer learning
- bit rate
- labeled data
- multi sensor information fusion