Authors: Aruna Muniswamy; Bhaskaran Gopalakrishnan; Subodh Chaudhari; Majid Jaridi; Ed Crowe; Deepak Gupta
Addresses: TE Connectivity, 3993 Clubhouse Ct, Apt 2A, High Point, NC 27265, USA ' West Virginia University, P.O. Box 6070, Morgantown, WV 26506, USA ' West Virginia University, P.O. Box 6070, Morgantown, WV 26506, USA ' West Virginia University, P.O. Box 6070, Morgantown, WV 26506, USA ' West Virginia University, P.O. Box 6070, Morgantown, WV 26506, USA ' South-East Missouri State University, One University Plaza, Cape Girardeau, MO 63701, USA
Abstract: The paper describes the development of a computer-based total productive maintenance (TPM) model to improve electrical motors readiness and uptime while reducing capital overhead. The TPM model includes the consideration of reactive, periodic, and predictive practices. The input data is processed and the generated report details a set of periodic recommendations providing guidelines on recommended actions and their frequency. The details about test results indicating the current condition of the motor as well estimated reactive, periodic, and predictive maintenance cost details are presented. Based on the historic data stored in its database, the model can predict potential problems prior to failure as well as prescribe periodic maintenance actions to maximise motor life. The TPM model will be a useful tool to predict the degradation in motor life due to deterioration in insulation, bearing, rotor bar and stator windings of the motor.
Keywords: total productive maintenance; TPM; electric motor maintenance; periodic maintenance; predictive maintenance; maintenance software; maintenance modelling; electric motors; motor life; insulation; bearings; rotor bar; stator windings.
International Journal of Productivity and Quality Management, 2014 Vol.13 No.2, pp.178 - 200
Published online: 17 May 2014 *Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article