Data-Driven Fault Diagnosis for Rolling Bearing Based on DIT-FFT and XGBoost.
Chuan XiangZejun RenPengfei ShiHongge ZhaoPublished in: Complex. (2021)
Keyphrases
- monitoring and fault diagnosis
- data driven
- fault diagnosis
- neural network
- expert systems
- fault detection
- operating conditions
- fuzzy logic
- fault detection and diagnosis
- frequency domain
- electronic equipment
- bp neural network
- rbf neural network
- industrial systems
- analog circuits
- gas turbine
- power transformers
- chemical process
- multiple faults
- rotating machinery
- fault detection and isolation
- electrical power systems
- failure diagnosis
- fault diagnostic
- tennessee eastman
- artificial neural networks
- decision making