دانلود مقاله ISI انگلیسی شماره 134832
ترجمه فارسی عنوان مقاله

اعتبار سنجی تاثیر ضعف های معماری در شش ابزار ارزیابی ریسک ماشین

عنوان انگلیسی
Validation of the impact of architectural flaws in six machine risk estimation tools
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
134832 2018 12 صفحه PDF
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Safety Science, Volume 101, January 2018, Pages 248-259

ترجمه کلمات کلیدی
ارزیابی ریسک، ابزار برآورد خطر، ایمنی ماشین آلات، نقص در ابزار برآورد خطر،
کلمات کلیدی انگلیسی
Risk assessment; Risk estimation tool; Safety of machinery; Flaws in risk estimation tools;
پیش نمایش مقاله
پیش نمایش مقاله  اعتبار سنجی تاثیر ضعف های معماری در شش ابزار ارزیابی ریسک ماشین

چکیده انگلیسی

To address the hazards inherent in industrial machinery, machine designers and users must conduct risk assessments and use risk reduction measures. Machine risk estimation plays a crucial role in choosing and prioritizing risk reduction methods (e.g., level of performance required for the safety-related control system). A large number of machine risk estimation tools exist, and each tool has its own specific parameters and architecture. Flaws in a tool may bias risk estimation and lead to the adoption of inappropriate or insufficient risk reduction methods. An earlier study identified potential flaws in risk estimation tool parameters and architecture and proposed construction rules. In this paper, potential flaws in the architecture of six tools are tested by 25 machine safety experts. Four scenarios involving industrial machines and representing different risk levels were used for that purpose. The experimentation served to validate the potential flaws which were the impact of (i) a non-uniform distribution of risk levels, (ii) greater relative weight given to one parameter, (iii) discontinuity in risk levels and (iv) an overly sensitive risk matrix. Construction rules for machine risk estimation tools that should help improve inter- and intra-user repeatability, making the tools more reliable and robust, are proposed. The recommendations can potentially guide users of risk estimation tools when choosing, designing or using a tool. The results of this study will also help improve national and international standards in machinery risk assessment.