A Recursive Denoising Learning for Gear Fault Diagnosis Based on Acoustic Signal in Real Industrial Noise Condition.
Yong YaoGui GuiSuixian YangSen ZhangPublished in: IEEE Trans. Instrum. Meas. (2021)
Keyphrases
- fault diagnosis
- denoising
- neural network
- industrial systems
- gas turbine
- chemical process
- expert systems
- fault detection
- bp neural network
- fuzzy logic
- acoustic signal
- electronic equipment
- rbf neural network
- power plant
- condition monitoring
- power transformers
- fault detection and diagnosis
- operating conditions
- learning algorithm
- industrial applications
- real time
- wavelet packet
- multiple faults