Host: ISCIE, SICE, JSME, JSPE, JSASS, SCEJ
Co-host: Technically Cosponsored by 48 Societies and Institutes
In this study, an automatic diagnostic system for a rotor shaft defect of DC motor is developed. Oscillatory data induced by rotation of motor shaft is assembled using oscillation sensor imitating human usage tool for oscillation sensing. Wavelet transformation and Self Organizing Map are employed to analyze the assembled acoustic sounds. To check the validity of the proposed method of diagnosis, experiments are made using a small DC motor and an actual high powered motor. As the results, acoustic sounds are classified according to its degrees of defect.
