The effect of transformer maintenance parameters on reliability and cost: a probabilistic model Academic Article uri icon


  • Transformer is an equipment common to most power systems. Preventive maintenance is performed to extend the equipment lifetime. Models relating probability of failure to maintenance activity are proposed in [Panida Jirutitijaroen, Chanan Singh, Oil-immersed transformer inspection and maintenance: probabilistic models, in: Proceedings of the 2003 North American Power Symposium Conference, pp. 204-208]. The model parameters which are mean time in each stage, inspection rate of each stage, and probabilities of transition from one stage to others, have an effect on reliability and cost of maintenance. In order to establish a cost-effective maintenance process, analysis of model parameters should be conducted thoroughly. This paper develops detailed models relating maintenance parameters to reliability and cost and then investigates the effect of varying model parameters. Simulation results from the proposed model are shown and corroborated by mathematical analysis of a simpler equivalent model. The analysis covers mean time to the first failure, maintenance cost, inspection cost, and failure cost. 2004 Elsevier B.V. All rights reserved.

published proceedings

  • Electric Power Systems Research

altmetric score

  • 0.25

author list (cited authors)

  • Jirutitijaroen, P., & Singh, C.

citation count

  • 63

complete list of authors

  • Jirutitijaroen, Panida||Singh, Chanan

publication date

  • December 2004