Smart fault detection and optimal variables identification using Kernel Mahalanobis Distance for industrial manufacturing processes.
Edgar O. Reséndiz-FloresJesús Alejandro Navarro AcostaIrma D. García-CalvilloPublished in: Int. J. Comput. Integr. Manuf. (2022)
Keyphrases
- fault detection
- mahalanobis distance
- manufacturing processes
- industrial processes
- fault diagnosis
- euclidean distance
- quality improvement
- manufacturing systems
- condition monitoring
- product quality
- covariance matrix
- neural network
- noise model
- data distribution
- optimal solution
- metric learning
- kernel function
- computer vision
- artificial intelligence
- distance metric
- kernel methods
- feature space
- rapid prototyping
- genetic algorithm
- machine learning