DIAGNOSTICS OF SYNCHRONOUS MOTOR BASED ON ANALYSIS OF ACOUSTIC SIGNALS WITH APPLICATION OF LPCC AND NEAREST MEAN CLASSIFIER WITH COSINE DISTANCE

摘要

Paper presents method of diagnostics of imminent failure conditions of synchronous motor. This method is based on a study of acoustic signals generated by synchronous motor. Sound recognition system is based on algorithms for data processing, such as LPCC and Nearest Mean classifier with cosine distance. Software to recognize the sounds of synchronous motor was implemented. Studies were carried out for four imminent failure conditions of synchronous motor. The results confirm that the system can be useful for detecting damage and protect the engines. System can be useful in inspection of metallurgy products.