Abstract—This paper investigated the current, flux and instantaneous power signals as a diagnostic medium to detect the eccentricity faults under varying load conditions using eccentricity fault frequency components. The analysis of results based on the variations in the amplitude of sideband components between healthy and faulty motors versus average eccentricity level over a wide range of loading conditions from different signals. This study examine the usefulness of instantaneous power to detect the eccentricity faults under varying loading conditions and also shows the prime features of different signals to detect the eccentricity faults using the variations between the healthy and faulty motors when the level of average eccentricity is high and the rated load is light. Overall, this paper provides comprehensive detail to detect the eccentricity faults using current, axial flux and instantaneous power signals simultaneously.

Index Terms—Condition Monitoring, Eccentricity, Frequency, Sensor, Spectrum.

Department of Electrical Engineering
COMSATS Institute of Information Technology, Lahore, Pakistan
University of South Asia, Lahore, Pakistan
Email: *drintesarahmad@ciitlahore.edu.pk, **shuja@ciitlahore.edu.pk

Cite: Intesar Ahmed, Manzar Ahmed, Kashif Imran, M. Shuja Khan, S. Junaid Akhtar, "Detection of Eccentricity Faults in Machine Using Frequency Spectrum Technique," International Journal of Computer and Electrical Engineering vol. 3, no. 1, pp. 111-119, 2011.