Intelligent Fault Diagnosis of Rolling Element Bearing Based on Convolutional Neural Network and Frequency Spectrograms.
Pengfei LiangChao DengJun WuZhixin YangJinxuan ZhuPublished in: ICPHM (2019)
Keyphrases
- monitoring and fault diagnosis
- fault diagnosis
- convolutional neural network
- neural network
- industrial systems
- face detection
- expert systems
- fuzzy logic
- power transformers
- fault detection and diagnosis
- fault detection
- bp neural network
- operating conditions
- gas turbine
- analog circuits
- multiple faults
- condition monitoring
- electrical power systems
- chemical process
- soft computing methods
- low frequency
- failure diagnosis
- artificial intelligence
- electronic equipment
- data mining
- tennessee eastman
- fault tree
- rotating machinery
- decision making
- probabilistic neural networks
- intelligent systems
- vibration signal