A Multi-Level-Denoising Autoencoder Approach for Wind Turbine Fault Detection.
Xin WuGuoqian JiangXiao WangPing XieXiaoli LiPublished in: IEEE Access (2019)
Keyphrases
- fault detection
- wind turbine
- denoising
- fault diagnosis
- power plant
- wind speed
- wind power
- fault identification
- industrial processes
- image denoising
- condition monitoring
- wind farm
- wind energy
- image processing
- fault detection and diagnosis
- power generation
- tennessee eastman
- neural network
- fault detection and isolation
- fuel cell
- bp neural network
- fault localization
- failure detection
- expert systems
- robust fault detection
- wavelet packet
- rbf neural network
- soft computing
- fuzzy logic
- electrical power
- constraint satisfaction problems
- fault isolation
- control system
- databases