Fault detection and diagnosis strategy based on k-nearest neighbors and fuzzy C-means clustering algorithm for industrial processes.
Lamiaa M. ElshenawyChouaib ChakourTarek A. MahmoudPublished in: J. Frankl. Inst. (2022)
Keyphrases
- k nearest neighbor
- industrial processes
- fault detection
- fault detection and diagnosis
- fault detection and isolation
- knn
- fuzzy c means clustering algorithm
- fault diagnosis
- nearest neighbor
- industrial process
- fuzzy clustering
- neural network
- quality improvement
- fuzzy c means
- induction motor
- knn classifier
- decision making
- text classification
- power plant
- clustering algorithm
- distance function
- dynamic model
- similarity search
- dimensionality reduction
- support vector machine
- high dimensional
- feature space
- decision trees
- feature selection