Data-driven fault diagnosis for wind turbines using modified multiscale fluctuation dispersion entropy and cosine pairwise-constrained supervised manifold mapping.
Zhenya WangGaosong LiLigang YaoXiaoli QiJun ZhangPublished in: Knowl. Based Syst. (2021)
Keyphrases
- wind turbine
- fault diagnosis
- data driven
- pairwise
- multiscale
- semi supervised
- wind power
- wind speed
- fault detection
- expert systems
- wind farm
- neural network
- bp neural network
- fuzzy logic
- fault detection and diagnosis
- power generation
- operating conditions
- electronic equipment
- learning algorithm
- rbf neural network
- power plant
- condition monitoring
- fault identification
- chemical process
- monitoring and fault diagnosis
- image segmentation
- similarity measure
- feature selection
- power transformers
- gas turbine
- multiresolution
- multiple faults
- multi sensor information fusion
- rotating machinery
- short term
- long term
- artificial intelligence
- machine learning