An Integrated Approach Based on Improved CEEMDAN and LSTM Deep Learning Neural Network for Fault Diagnosis of Reciprocating Pump.
Fengfeng BieTengfei DuFengxia LyuMingjun PangYue GuoPublished in: IEEE Access (2021)
Keyphrases
- fault diagnosis
- deep learning
- neural network
- condition monitoring
- bp neural network
- fault detection
- unsupervised learning
- recurrent neural networks
- expert systems
- unsupervised feature learning
- operating conditions
- fuzzy logic
- gas turbine
- power transformers
- rotating machinery
- chemical process
- machine learning
- fault detection and diagnosis
- electronic equipment
- monitoring and fault diagnosis
- rbf neural network
- mental models
- pattern recognition
- weakly supervised
- analog circuits
- multilayer perceptron
- artificial neural networks
- image processing
- artificial intelligence
- neural network model
- object detection
- genetic algorithm
- multi sensor information fusion