Fault Diagnosis in the Slip-Frequency Plane of Induction Machines Working in Time-Varying Conditions.
Ruben Puche-PanaderoJavier Martínez-RománAngel Sapena-BanoJordi Burriel-ValenciaMartin Riera-GuaspPublished in: Sensors (2020)
Keyphrases
- fault diagnosis
- operating conditions
- neural network
- expert systems
- fault detection
- fault detection and diagnosis
- monitoring and fault diagnosis
- electronic equipment
- chemical process
- fuzzy logic
- condition monitoring
- multi sensor information fusion
- power transformers
- bp neural network
- multiple faults
- rbf neural network
- gas turbine
- industrial systems
- machine learning
- rotating machinery
- failure diagnosis
- fault identification
- soft computing methods
- artificial intelligence
- tennessee eastman
- fault detection and isolation
- data mining
- electrical power systems
- wavelet transform
- low frequency