A generic fault prognostics algorithm for manufacturing industries using unsupervised machine learning classifiers.
Nikolaos KolokasThanasis VafeiadisDimosthenis IoannidisDimitrios TzovarasPublished in: Simul. Model. Pract. Theory (2020)
Keyphrases
- machine learning
- learning algorithm
- dynamic programming
- computational cost
- detection algorithm
- cost function
- decision trees
- classification algorithm
- computational complexity
- objective function
- probabilistic model
- optimal solution
- nearest neighbour
- supervised classification
- np hard
- fault diagnosis
- unsupervised manner
- fault detection
- classification method
- matching algorithm
- machine learning algorithms
- feature selection
- unsupervised learning
- supervised learning
- semi supervised
- neural network
- similarity measure
- evolutionary algorithm
- expert systems
- preprocessing