Identification and Evaluation of Human Errors in Low Voltage Distribution Systems using FUZZY-HEART Technique

Authors

  • Mirzaei Aliabadi, mostafa Assistant Professor, Center of Excellence for Occupational Health, Occupational Health and Safety Research Center, Department of Occupational Health Engineering, School of Public Health, Hamadan University of Medical Sciences, Hamadan, Iran
  • mollabahrami, farzaneh Occupational Health, Student Research Committee, Hamadan University of Medical Sciences, Hamadan, Iran;
  • najafi, kamran PHD Student, Student Research Committee, Hamadan University of Medical Sciences, Hamadan, Iran.
Abstract:

Electricity-related occupational accidents are the fifth leading cause of occupational deaths. One of the major causes of occupational accidents is human error. That is why the human role as a cause of the accident is so important and must be considered during risk assessment. The purpose of this study is to present a Fuzzy-HERAT human error assessment method, which can be used to assess the probability of human error in the job of securing the electrical network using the experts' opinions. Tasks of the power distribution system were first analyzed using the HTA method and in the next step, the probability of the general error of that task was determined, and then the error producing conditions for each task were determined. In the next step, the linguistic terms of the relevant experts on each EPC was obtained and finally these linguistic terms were quantified using the fuzzy method and then the probability of total human error for each task was calculated. Finally, tasks were prioritized based on the probability of human error. Using HTA technique, it was found that the safety operation of power grids consists of 5 main tasks. With the Fuzzy-Heart technique, the task of interrupting the power supply was the most likely to cause human error. The results showed that the proposed Fuzzy-Heart technique has been successfully applied in estimating the probability of human error. The proposed method can identify the conditions that cause the error and estimate the impact contribution to each of these conditions.  

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Journal title

volume 7  issue 2

pages  57- 60

publication date 2020-06

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