Fault diagnosis of rolling element bearing using time-domain features and neural networks.
B. SreejithAjit Kumar VermaA. SrividyaPublished in: ICIIS (2008)
Keyphrases
- fault diagnosis
- monitoring and fault diagnosis
- neural network
- fuzzy logic
- expert systems
- fault detection
- rbf neural network
- operating conditions
- bp neural network
- multi sensor information fusion
- fault detection and diagnosis
- feature extraction
- rotating machinery
- condition monitoring
- analog circuits
- soft computing methods
- chemical process
- feature set
- electrical power systems
- artificial neural networks
- electronic equipment
- gas turbine
- industrial systems
- multiple faults
- real time
- fault detection and isolation
- vibration signal
- power plant
- feature vectors
- fault identification
- artificial intelligence
- power transformers
- machine learning