با سلام خدمت کاربران در صورتی که با خطای سیستم پرداخت بانکی مواجه شدید از طریق کارت به کارت (6037997535328901 بانک ملی ناصر خنجری ) مقاله خود را دریافت کنید (تا مشکل رفع گردد).
ردیف | عنوان | نوع |
---|---|---|
1 |
Use of a big data analysis technique for extracting HRA data from event investigation reports based on the Safety-II concept
استفاده از روش تجزیه و تحلیل داده های بزرگ برای استخراج داده های مجموعه فعالان حقوق بشر از رویداد گزارش تحقیقات بر اساس مفهوم ایمنی-II-2020 The safe operation of complex socio-technical systems including NPPs (Nuclear Power Plants) is a determinant
for ensuring their sustainability. From this concern, it should be emphasized that a large portion of safety
significant events were directly and/or indirectly caused by human errors. This means that the role of an HRA
(Human Reliability Analysis) is critical because one of its applications is to systematically distinguish error-prone
tasks triggering safety significant events. To this end, it is very important for HRA practitioners to access diverse
HRA data which are helpful for understanding how and why human errors have occurred. In this study, a novel
approach is suggested based on the Safety-II concept, which allows us to collect HRA data by considering failure
and success cases in parallel. In addition, since huge amount of information can be gathered if the failure and
success cases are simultaneously involved, a big data analysis technique called the CART (Classification And
Regression Tree) is applied to deal with this problem. As a result, it seems that the novel approach proposed by
combining the Safety-II concept with the CART technique is useful because HRA practitioners are able to get
HRA data with respect to diverse task contexts. Keywords: Human reliability analysis | Nuclear power plant | Safety-II | Classification and regression tree | Event investigation report |
مقاله انگلیسی |