Diagnosis of the combined rotor faults using air gap magnetic flux density spectrum for an induction machine.
Abdellatif SeghiourTahar SeghierBoubakeur ZegniniGeorge GeorgoulasPublished in: Int. J. Syst. Assur. Eng. Manag. (2017)
Keyphrases
- fault diagnosis
- fault detection
- model based diagnosis
- multiple faults
- vibration signal
- fault detection and diagnosis
- fault detection and isolation
- root cause
- induction motor
- neural network
- fault identification
- expert systems
- fuzzy logic
- operating conditions
- condition monitoring
- magnetic field
- machine learning
- fault model
- inductive learning
- low density
- high density
- density function
- solid state
- batch processing
- program synthesis
- clinically relevant
- rough sets
- denoising
- knowledge base