人在环事件和普遍早期故障的内在和外在因素的定量分析和评估

D. Verbitsky
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引用次数: 1

摘要

综合分析复杂的人在环(HITL)设备事故和早期故障(EF)对于预防安全问题至关重要。传统的方法往往高估了外在的晚年原因,忽视和/或错误地归因于普遍的EF,导致高损失和错过重要的机会。基于仪器的系统性早期故障分析(SEFA)方法提供了对人-技术混合的根本原因和相互作用的全面评估。它还利用物理学和主题的特殊性对一些基本的内在原因和许多琐碎的外在原因进行分类(朱兰- f10原理)。一个典型的行业新微绕线电阻器的EF由类似的跨行业误差支持,说明了传统方法的固有缺陷。这些迫切需要恢复增强的现代化的以sefa为中心的闭环反馈回路。提出的基于sefa的半定量专家权重评估比传统的定性共同特殊原因更好地表征了多方面的HITL事件- ef。SEFA已经为现代HITL电子产品的所有层次展示了同步的多方面改进和高客户满意度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Quantitative analysis and assessment of intrinsic and extrinsic factors in human-in-the-loop incidents and prevalent early failures
Comprehensive analyses of complex human-in-the-loop (HITL)-equipment incidents and early failures (EF) are critical for prevention of safety problems. Traditional methods often overestimate extrinsic late-life causes, overlook and/or misattribute prevalent EF causing high losses and missing vital opportunities. Instrumentation-based systemic early failure analysis (SEFA) methodology provides comprehensive assessments of human-technical-mixed root causes and interactions. It also sorts few fundamental intrinsic causes and numerous trivial extrinsic ones using physics and subject-matter specifics (Juran-F10 principle). A typical industry-new EF of micro-wire-wound resistors supported by similar cross-industry errors illustrate the issues proving inherent deficiency of conventional approaches. These urge to restore enhanced modernised SEFA-centred closed feedback loop. The proposed SEFA-based semi-quantitative expert weight assessment better characterises multifaceted HITL incidents-EF vs. the conventional qualitative common-special causes. SEFA has demonstrated concurrent multifaceted improvements and high customer satisfaction for all tiers of modern HITL electronics.
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