Full Length Research Paper

A practical approach to electromotor fault diagnosis of Imam Khomaynei silo by vibration condition monitoring

Hojat Ahmadi and Kaveh Mollazade*

Department of Agricultural Machinery, Faculty of Biosystems Engineering, University of Tehran, Karaj, Iran.

*Corresponding author. E-mail: kaveh.mollazade@gmail.com.

Accepted 25 March, 2009

   Abstract

Practical experience has shown that vibration technique in a machine condition monitoring program provides useful reliable information, bringing significant cost benefits to industry. The objective of this research was to investigate the correlation between vibration analysis and electromotor fault diagnosis. This was achieved by vibration analysis of an electromotor in Imam Khomaynei silo. The vibration analysis was initially run under regular interval during machine life. A series of tests were then conducted under the operating hours of electromotor. Vibration data was regularly collected. Overall vibration data produced by vibration analysis was compared with previous data. Numerical data produced by vibration analysis were compared with vibration spectra in standard condition of healthy electromotor, in order to quantify the effectiveness of the vibration condition monitoring technique. The results of this paper have given more understanding on the dependent roles of vibration analysis in predicting and diagnosing of electromotor faults.

Key words: Vibration analysis, vibration condition monitoring, electromotor, predicting and diagnosing electromotor faults.