Hybrid Pre-Training Strategy for Deep Denoising Neural Networks and Its Application in Machine Fault Diagnosis.
Baoxuan ZhaoChangming ChengZhike PengQingbo HeGuang MengPublished in: IEEE Trans. Instrum. Meas. (2021)
Keyphrases
- fault diagnosis
- neural network
- denoising
- training algorithm
- expert systems
- fault detection
- fuzzy logic
- electronic equipment
- feedforward neural networks
- bp neural network
- fault detection and diagnosis
- monitoring and fault diagnosis
- operating conditions
- training process
- feed forward neural networks
- industrial systems
- gas turbine
- rbf neural network
- multiple faults
- back propagation
- rotating machinery
- multi layer perceptron
- multi sensor information fusion
- power transformers
- condition monitoring
- training set
- image processing
- analog circuits
- chemical process
- artificial neural networks
- electrical power systems
- multilayer perceptron
- neural network model
- tennessee eastman
- machine learning