Volume 8, Issue 3 (Autumn 2021)                   johe 2021, 8(3): 40-49 | Back to browse issues page


XML Persian Abstract Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

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
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
Abstract:   (2527 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.
Full-Text [PDF 1053 kb]   (822 Downloads)    
Type of Study: Research Article | Subject: Safety

References
1. Taylor AJ, McGwin G, Valent F, Rue L. Fatal occupational electrocutions in the United States. Inj Prev. 2002;8(4):306-12. PMID: 12460968 DOI: 10.1136/ip.8.4.306 [DOI] [PubMed]
2. Waldmann V, Narayanan K, Combes N, Marijon E. Electrical injury. Bmj. 2017;357:1-7. PMID: 28404561 DOI: 10.1136/bmj.j1418 [DOI] [PubMed]
3. Chi C-F, Yang C-C, Chen Z-L. In-depth accident analysis of electrical fatalities in the construction industry. Int J Ind. Ergon. 2009;39(4);635-44 .DOI: 10.1016/j.ergon.2007.12.003 [DOI]
4. Castillo-Rosa J, Suárez-Cebador M, Rubio-Romero JC, Aguado JA. Personal factors and consequences of electrical occupational accidents in the primary, secondary and tertiary sectors. Saf Sci. 2017;91;286-97 .DOI: 10.1016/j.ssci.2016.08.021 [DOI]
5. Suárez-Cebador M, Rubio-Romero JC, López-Arquillos A. Severity of electrical accidents in the construction industry in Spain. J Safety Res. 2014;48:63-70. PMID: 24529093 DOI: 10.1016/j.jsr.2013.12.002 [DOI] [PubMed]
6. Haluik A. editor Risk perception and decision making in hazard analysis: improving safety for the next generation of electrical workers. IEEE IAS Electr Saf Workshop. 2016:1-8. DOI: 10.1109/ESW.2016.7499712 [DOI]
7. Kumar AM, Rajakarunakaran S, Prabhu VAJJoLPitPI. Application of Fuzzy HEART and expert elicitation for quantifying human error probabilities in LPG refuelling station. J Loss Prev Process Ind. 2017;48:186-98. DOI: 10.1016/j.jlp.2017.04.021 [DOI]
8. Longo F, Bruzzone AG. Modelling and simulation applied to security systems, Proceedings of Summer Computer Simulation Conference, Philadelphia, PA. 2005; 183-188.
9. Nouri E. Safety in electricity distribution networks. Iran,Tehran: Fanavaran; 2013:224.
10. Zadeh LA. Fuzzy sets. Inf Control. 1965;8(3):338-53.
11. Casamirra M, Castiglia F, Giardina M, Tomarchio E. Fuzzy modelling of HEART methodology: application in safety analyses of accidental exposure in irradiation plants. Radiat Eff. 2009;164(5-6):291-6 .DOI: 10.1080/10420150902805153 [DOI]
12. Williams J. editor A data-based method for assessing and reducing human error to improve operational performance. Conference Record for 1988. IEEE Fourth Conference on Human Factors and Power Plants; 1988; 436-450. DOI: 10.1109/HFPP.1988.27540 [DOI]
13. Castiglia F, Giardina M, Tomarchio EJJorp. Risk analysis using fuzzy set theory of the accidental exposure of medical staff during brachytherapy procedures. J Radiol Prot. 2010;30(1);49-62. PMID: 20220212 DOI: 10.1088/0952-4746/30/1/004 [DOI] [PubMed]
14. Castiglia F, Giardina MJHp. Fuzzy risk analysis of a modern γ-ray industrial irradiator. Health Phys. 2011;100(6);622-31. PMID: 22004931 DOI: 10.1097/HP.0b013e31820153eb [DOI] [PubMed]
15. Castiglia F, Giardina MJijohe. Analysis of operator human errors in hydrogen refuelling stations: comparison between human rate assessment techniques. Int J Hydrog. 2013;38(2):1166-76. DOI: 10.1016/J.IJHYDENE.2012.10.092 [DOI]
16. Zhou J-L, Lei Y, Chen YJRE, Safety S. A hybrid HEART method to estimate human error probabilities in locomotive driving process. Reliab Eng Syst Saf. 2019;188:80-9. DOI: 10.1016/j.ress.2019.03.001 [DOI]
17. Reinach S, Fadden S, Gamst F, Acton S, Bartlett S. A comparative risk assessment of remote control locomotive operations versus conventional yard switching operations. 2006:1-4.
18. Zheng H, Deng Y, Hu Y. Fuzzy evidential influence diagram and its evaluation algorithm. Knowl Based Syst. 2017;131: 28-45. DOI:10.1016/j.knosys.2017.05.024 [DOI]
19. Celik E, Taskin Gumus A. An assessment approach for non-governmental organizations in humanitarian relief logistics and an application in Turkey. Technol Econ Dev. 2018; 24(1):1-26. DOI: 10.3846/20294913.2015.1056277 [DOI]

Add your comments about this article : Your username or Email:
CAPTCHA

Send email to the article author


Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

© 2024 CC BY-NC 4.0 | Journal of Occupational Hygiene Engineering

Designed & Developed by : Yektaweb