Volume 8, Issue 3 (Autumn 2021)
johe 2021, 8(3): 40-49 |
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mollabahrami F, najafi K, aghaei H, Mirzaei Aliabadi M. Identification and Evaluation of Human Errors in Low Voltage Distribution Systems Using Fuzzy-HEART Technique. johe 2021; 8 (3) :40-49
URL: http://johe.umsha.ac.ir/article-1-610-en.html
URL: http://johe.umsha.ac.ir/article-1-610-en.html
1- Center of Excellence for Occupational Health and Occupational Health and Safety Research Center, Faculty of Health, Hamadan University of Medical Sciences, Hamadan, Iran
2- Department of Occupational Health Engineering, School of Health, Arak University of Medical Sciences, Arak, Iran
3- Center of Excellence for Occupational Health and Occupational Health and Safety Research Center, Faculty of Health, Hamadan University of Medical Sciences, Hamadan, Iran ,mirzaei@umsha.ac.ir
2- Department of Occupational Health Engineering, School of Health, Arak University of Medical Sciences, Arak, Iran
3- Center of Excellence for Occupational Health and Occupational Health and Safety Research Center, Faculty of Health, Hamadan University of Medical Sciences, Hamadan, Iran ,
Abstract: (3109 Views)
Background and Objective: Electricity-related occupational accidents are the fifth leading cause of occupational death. One of the major causes of occupational accidents is human error; therefore, the human role as a cause of the accident is highly important and needs to be considered in risk assessment. This study aimed to present a Fuzzy-Human error assessment and reduction technique (HERAT) technique, which can be used to estimate human error probability in the job of securing the electrical network using the experts' opinions.
Materials and Methods: First, the tasks in the power distribution system were analyzed using the HTA(Hierarchical Task Analysis) method. In the next step, the general error probability of each task was determined, and then, the error-causing conditions for each task were determined. Afterward, the linguistic terms of the relevant experts on each error-producing condition were obtained, and then, these linguistic terms were quantified using the fuzzy method and the probability of total human error for each task was calculated. Finally, tasks were prioritized based on human error probability.
Results: The employment of the HTA technique led to the finding that the operation of securing power grids consisted of five main tasks. The most likely human error was found to be the task of interrupting the power supply, which was revealed using the Fuzzy-HEART technique.
Conclusion: The results showed that the proposed Fuzzy-HEART technique has been successfully applied in estimating the human error probability. The proposed method could identify the error-causing conditions and estimate the impact contribution to each of these conditions.
Materials and Methods: First, the tasks in the power distribution system were analyzed using the HTA(Hierarchical Task Analysis) method. In the next step, the general error probability of each task was determined, and then, the error-causing conditions for each task were determined. Afterward, the linguistic terms of the relevant experts on each error-producing condition were obtained, and then, these linguistic terms were quantified using the fuzzy method and the probability of total human error for each task was calculated. Finally, tasks were prioritized based on human error probability.
Results: The employment of the HTA technique led to the finding that the operation of securing power grids consisted of five main tasks. The most likely human error was found to be the task of interrupting the power supply, which was revealed using the Fuzzy-HEART technique.
Conclusion: The results showed that the proposed Fuzzy-HEART technique has been successfully applied in estimating the human error probability. The proposed method could identify the error-causing conditions and estimate the impact contribution to each of these conditions.
Type of Study: Research Article |
Subject:
Safety
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