Human reliability analysis in maintenanceteam of power transmission systemprotection

Mehdi Tavakoli; Mehdi Nafar

doi:10.1186/s41601-020-00176-6

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Human reliability analysis in maintenanceteam of power transmission systemprotection

Original Research | 更新时间：2026-09-30

- Human reliability analysis in maintenanceteam of power transmission systemprotection
- Protection and Control of Modern Power Systems Vol. 5, Issue 4, Pages: 1-13(2020)
- 作者机构：
  
  Department of Electrical Engineering, Marvdasht Branch, Islamic Azad University, Marvdasht,Iran
- 作者简介：
- 基金信息：
- DOI：10.1186/s41601-020-00176-6
  CLC：
- Published：01 October 2020
- 稿件说明：
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Mehdi Tavakoli, Mehdi Nafar. Human reliability analysis in maintenanceteam of power transmission systemprotection[J]. Protection and Control of Modern Power Systems, 2020, 5(4): 1-13.
DOI：

Mehdi Tavakoli, Mehdi Nafar. Human reliability analysis in maintenanceteam of power transmission systemprotection[J]. Protection and Control of Modern Power Systems, 2020, 5(4): 1-13. DOI： 10.1186/s41601-020-00176-6.

摘要

The requirement for reliable electrical energy supply increases continuously because of its vital role in our lives. However

events due to various factors in the power grid can cause energy supply to be interrupted. One of these factors is human error and thus human reliability analysis is a serious element in the industry. The first step is to identify the roots of human error

on which there has been limited research in this area. In this paper

the potential and actual causes of human error in maintenance teams of power transmission system protection are identified and predicted within a framework of human factors analysis and classification system method. Then

human error factors are ranked to help improve human reliability. The proposed method is implemented in the Fars Electricity Maintenance Company.

Abstract

The requirement for reliable electrical energy supply increases continuously because of its vital role in our lives. However

on which there has been limited research in this area. In this paper

human error factors are ranked to help improve human reliability. The proposed method is implemented in the Fars Electricity Maintenance Company.

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