Principal Component Analysis of the start-up transient and Hidden Markov Modeling for broken rotor bar fault diagnosis in asynchronous machines.
George K. GeorgoulasMohammed Obaid MustafaIoannis P. TsoumasJose Alfonso Antonino-DaviuVicente Climente-AlarconChrysostomos D. StyliosGeorge NikolakopoulosPublished in: Expert Syst. Appl. (2013)
Keyphrases
- fault diagnosis
- principal component analysis
- neural network
- expert systems
- operating conditions
- fault detection
- steady state
- condition monitoring
- fault detection and diagnosis
- bp neural network
- fuzzy logic
- rbf neural network
- multiple faults
- power transformers
- failure diagnosis
- electronic equipment
- chemical process
- gas turbine
- monitoring and fault diagnosis
- face recognition
- fault detection and isolation
- power plant
- industrial systems
- feature space
- fault identification
- rotating machinery
- fault tree
- electrical power systems
- multi sensor information fusion
- real time
- vibration signal
- control system