Universal fault detection for NFV using SOM-based clustering.
Tomonobu NiwaMasanori MiyazawaMichiaki HayashiRolf StadlerPublished in: APNOMS (2015)
Keyphrases
- fault detection
- self organizing maps
- k means
- fault diagnosis
- kohonen self organizing maps
- fault identification
- industrial processes
- kohonen self organizing map
- failure detection
- clustering algorithm
- cluster analysis
- neural network
- condition monitoring
- fuel cell
- clustering method
- unsupervised learning
- rotating machinery
- tennessee eastman
- fault detection and diagnosis
- neural gas
- real time
- fault detection and isolation
- databases
- gas turbine
- decision making
- som neural network
- genetic programming
- input data
- fuzzy logic
- data points