Title: Fault detection in a centrifugal pump using vibration and motor current signature analysis

Authors: Amiya Ranjan Mohanty; Prasanta Kumar Pradhan; Nitaigour P. Mahalik; Sabyasachi G. Dastidar

Addresses: Mechanical Engineering Department, IIT, Kharagpur, 721302, India ' Mechanical Engineering Department, IIT, Kharagpur, 721302, India ' Department of Industrial Technology, California State University, Fresno, California, 93740, USA ' Mechanical Engineering Department, NIT, Jaipur, 302017, India

Abstract: Due to growth of mechanisation and automation, today's industrial systems are becoming more complex. A small breakdown of any non-redundant machine component affects the operation of the entire system. To increase the availability and reliability, automated health monitoring and self-diagnostic capability (SDC) becoming essential to many industrial machineries like pumps, motors, etc. Condition monitoring does not prevent the failure, but it can predict the possibility of future failure by measuring certain machine parameters. Though there are various condition monitoring techniques, vibration analysis and motor current signature analysis (MCSA) are most suitable for detection of faults and abnormalities in machine systems. This work attempts to develop an SDC framework and diagnose the impeller condition of a centrifugal pump using MCSA. Time and frequency domain analyses are done for different impeller conditions of the pump, such as normal impeller and defective impellers. Significant differences are observed and a fault prediction strategy is recommended.

Keywords: condition monitoring; vibration analysis; spectrum; FDI; diagnostics; fault detection; centrifugal pumps; motor current signature analysis; machine faults; self-diagnostic capability; impellers; fault prediction.

DOI: 10.1504/IJAAC.2012.051884

International Journal of Automation and Control, 2012 Vol.6 No.3/4, pp.261 - 276

Received: 15 Aug 2012
Accepted: 11 Sep 2012

Published online: 07 Nov 2014 *

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