Volume 15, Issue 4 (December 2019)                   IJEEE 2019, 15(4): 536-544 | Back to browse issues page

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Solari H S, Majidi B, Moazzami M. Optimal Estimation of Weibull Distribution Parameters in order to Provide Preventive-Corrective Maintenance Program for Power Transformers. IJEEE 2019; 15 (4) :536-544
URL: http://ijeee.iust.ac.ir/article-1-1494-en.html
Optimal Estimation of Weibull Distribution Parameters in order to Provide Preventive-Corrective Maintenance Program for Power Transformers
H. Sh. Solari , B. Majidi , M. Moazzami
Abstract:   (3744 Views)
In this paper, a new method for modelling and estimation of reliability parameters of power transformer components in distribution and transmission voltage levels for preventive-corrective maintenance schedule of transformers is proposed. In this method, with optimal estimation of Weibull distribution parameters using least squares method and input data uncertainty reduction, failure rate and probable distributions of power transformers’ components as the key parameters of equipment reliability is estimated. Then by using the results of this modelling, a maintenance schedule for evaluation the effect of maintenance on reliability of this equipment is presented. Simulation results using real failure data of 196 power transformers on 33 to 230kV voltage levels show that applying the proposed method in addition to uncertainty reduction of raw input data and better estimation of equipment reliability, improve decision making regarding maintenance schedule of power transformers.
Keywords: Failure Rate , Preventive-Corrective Maintenance , Weibull Distribution , Power Transformer
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Type of Study: Research Paper | Subject: Power Systems Reliability
Received: 2019/05/05 | Revised: 2019/06/09 | Accepted: 2019/06/11
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Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
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© 2022 by the authors. Licensee IUST, Tehran, Iran. This is an open access journal distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) license.