Open AccessHuman reliability analysis in de-energization of power line using HEART in the context of Z-numbers
Author(s) -
Hamed Aghaei,
Mostafa Mirzaei Aliabadi,
Farzaneh Mollabahrami,
Kamran Najafi
Publication year - 2021
Publication title -
plos one
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.99
H-Index - 332
ISSN - 1932-6203
DOI - 10.1371/journal.pone.0253827
Subject(s) - reliability (semiconductor) , human reliability , context (archaeology) , computer science , reliability engineering , human error , credibility , sensitivity (control systems) , operator (biology) , power (physics) , risk analysis (engineering) , statistics , mathematics , medicine , engineering , physics , chemistry , paleontology , biochemistry , repressor , quantum mechanics , electronic engineering , law , political science , transcription factor , gene , biology
Investigation reveals that a high percentage of incident causes are ascribed to some forms of human error. To effectively prevent incidents from happening, Human Reliability Analysis (HRA), as a structured way to represent unintentional operator contribution to system reliability, is a critical issue. Human Error Reduction and Assessment Technique (HEART) as a famous HRA technique, provides a straightforward method to estimate probabilities of human error based on the analysis of tasks. However, it faces varying levels of uncertainty in assigning of weights to each error producing condition (EPC), denoted as assessed proportion of affect (APOA), by experts. To overcome this limitation and consider the confidence level (reliability or credibility) of the experts, the current study aimed at proposing a composite HEART methodology for human error probability (HEP) assessment, which integrates HEART and Z-numbers short for, Z-HEART. The applicability and effectiveness of the Z-HEART has been illustrated in the de-energization power line as a case study. Furthermore, a sensitivity analysis is fulfilled to investigate the validity of the proposed methodology. It can be concluded that Z-HEART is feasible for assessing human error, and despite the methodological contributions, it offers many advantages for electricity distribution companies.