Applications of FFTA–HFACS for Analyzing Human and Organization Factors in Electric Misoperation Accidents
Human and organizational factors (HOFs) play an important role in electric misoperation accidents (EMAs), but research into the reliability of human factors is still in its infancy in the field of EMAs, and further investment in research is urgently required. To analyze the HOFs in EMAs, a hybrid me...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-09-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/11/19/9008 |
| _version_ | 1797516856044552192 |
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| author | Chuan Lin Qifeng Xu Yifan Huang |
| author_facet | Chuan Lin Qifeng Xu Yifan Huang |
| author_sort | Chuan Lin |
| collection | DOAJ |
| description | Human and organizational factors (HOFs) play an important role in electric misoperation accidents (EMAs), but research into the reliability of human factors is still in its infancy in the field of EMAs, and further investment in research is urgently required. To analyze the HOFs in EMAs, a hybrid method including the Human Factors Analysis and Classification System (HFACS) and fuzzy fault tree analysis (FFTA) was applied to EMAs for the first time in the paper. HFACS is used to identify and classify the HOFs with 135 accidents, reorganized as basic events (BEs), intermediate events (IEs), and top event (TE), and develop the architecture of fault tree (FT). Fuzzy aggregation is employed to address experts’ expressions and obtain the failure probabilities of the BEs and the minimal cut sets (MCSs) of the FT. The approach generates BEs failure probabilities without reliance on quantitative historical failure statistics of EMAs via qualitative records processing. The FFTA–HFACS model is applied for quantitative analysis of the probability of failure of electrical mishaps and the interaction between accident risk factors. It can assist professionals in deciding whether and where to take preventive or corrective actions and assist in knowledgeable decision-making around the electric operation and maintenance process. Finally, applying this hybrid method to EMAs, the results show that the probability of an EMAs is 1.0410 × 10<sup>−2</sup>, which is a risk level that is likely to occur and must be controlled. Two of the most important risk factors are habitual violations and supervisory violation; a combination of risk factors of inadequate work preparation and paralysis, and irresponsibility on the part of employees are also frequent errors. |
| first_indexed | 2024-03-10T07:06:43Z |
| format | Article |
| id | doaj.art-66eec7072ae6411993dbfaa0e1ad7f14 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-10T07:06:43Z |
| publishDate | 2021-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-66eec7072ae6411993dbfaa0e1ad7f142023-11-22T15:46:20ZengMDPI AGApplied Sciences2076-34172021-09-011119900810.3390/app11199008Applications of FFTA–HFACS for Analyzing Human and Organization Factors in Electric Misoperation AccidentsChuan Lin0Qifeng Xu1Yifan Huang2School of Electrical Engineering and Automation, Fuzhou University, Fuzhou 350108, ChinaSchool of Electrical Engineering and Automation, Fuzhou University, Fuzhou 350108, ChinaSchool of Electrical Engineering and Automation, Fuzhou University, Fuzhou 350108, ChinaHuman and organizational factors (HOFs) play an important role in electric misoperation accidents (EMAs), but research into the reliability of human factors is still in its infancy in the field of EMAs, and further investment in research is urgently required. To analyze the HOFs in EMAs, a hybrid method including the Human Factors Analysis and Classification System (HFACS) and fuzzy fault tree analysis (FFTA) was applied to EMAs for the first time in the paper. HFACS is used to identify and classify the HOFs with 135 accidents, reorganized as basic events (BEs), intermediate events (IEs), and top event (TE), and develop the architecture of fault tree (FT). Fuzzy aggregation is employed to address experts’ expressions and obtain the failure probabilities of the BEs and the minimal cut sets (MCSs) of the FT. The approach generates BEs failure probabilities without reliance on quantitative historical failure statistics of EMAs via qualitative records processing. The FFTA–HFACS model is applied for quantitative analysis of the probability of failure of electrical mishaps and the interaction between accident risk factors. It can assist professionals in deciding whether and where to take preventive or corrective actions and assist in knowledgeable decision-making around the electric operation and maintenance process. Finally, applying this hybrid method to EMAs, the results show that the probability of an EMAs is 1.0410 × 10<sup>−2</sup>, which is a risk level that is likely to occur and must be controlled. Two of the most important risk factors are habitual violations and supervisory violation; a combination of risk factors of inadequate work preparation and paralysis, and irresponsibility on the part of employees are also frequent errors.https://www.mdpi.com/2076-3417/11/19/9008human factors analysis and classification systemfuzzy fault tree analysiselectric misoperation accidentsfailure probabilityhuman and organization factors |
| spellingShingle | Chuan Lin Qifeng Xu Yifan Huang Applications of FFTA–HFACS for Analyzing Human and Organization Factors in Electric Misoperation Accidents Applied Sciences human factors analysis and classification system fuzzy fault tree analysis electric misoperation accidents failure probability human and organization factors |
| title | Applications of FFTA–HFACS for Analyzing Human and Organization Factors in Electric Misoperation Accidents |
| title_full | Applications of FFTA–HFACS for Analyzing Human and Organization Factors in Electric Misoperation Accidents |
| title_fullStr | Applications of FFTA–HFACS for Analyzing Human and Organization Factors in Electric Misoperation Accidents |
| title_full_unstemmed | Applications of FFTA–HFACS for Analyzing Human and Organization Factors in Electric Misoperation Accidents |
| title_short | Applications of FFTA–HFACS for Analyzing Human and Organization Factors in Electric Misoperation Accidents |
| title_sort | applications of ffta hfacs for analyzing human and organization factors in electric misoperation accidents |
| topic | human factors analysis and classification system fuzzy fault tree analysis electric misoperation accidents failure probability human and organization factors |
| url | https://www.mdpi.com/2076-3417/11/19/9008 |
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