Principal Component Analysis of the start-up transient and Hidden Markov Modeling for broken rotor bar fault diagnosis in asynchronous machines
We perform broken rotor bar fault detection and diagnosis in asynchronous machines. PCA is applied for the extraction of the faulty component during start-up. HMMs are applied for the classification of three conditions. An HMM is trained for anomaly detection. The proposed schemes have been experimentally validated.
principal component analysis hidden markov modeling broken rotor bar fault diagnosis