Attention Recurrent Autoencoder Hybrid Model for Early Fault Diagnosis of Rotating Machinery.
Xiangwei KongXueyi LiQingzhao ZhouZhiyong HuCheng ShiPublished in: IEEE Trans. Instrum. Meas. (2021)
Keyphrases
- rotating machinery
- hybrid model
- fault diagnosis
- fault detection
- artificial neural networks
- expert systems
- support vector regression
- hybrid models
- fuzzy logic
- rbf neural network
- neural network
- bp neural network
- fault detection and diagnosis
- operating conditions
- condition monitoring
- power transformers
- gas turbine
- analog circuits
- monitoring and fault diagnosis
- feed forward
- electronic equipment
- multiple faults
- chemical process
- support vector machine svm
- multi sensor information fusion
- power plant
- recurrent neural networks
- back propagation
- genetic algorithm
- machine learning