What does it mean when your measurement is just within, or just outside of limits? Dealing with risks due to measurement errors and their implication on safety

S. Mozar, W. Kao
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Abstract

In safety engineering there are occasions where a reading indicates that the result over the limit. For example if a measurement result is 5.51V, and the limit is 5.50V. Is such a reading outside the limit? Does a safety problem exist? The answer is not a simple yes or no. A number of considerations need to be made, for example how critical is this measurement for product safety? In other words is there a safety risk? To answer such a question we need to understand the effect of tolerances. This includes the tolerance of the measuring instrument used, and of the circuit being tested. First measurement errors are briefly reviewed, followed by a brief discussion of the statistical significance. Then statistical techniques and risk management are used to determine if the reading is out of tolerance and what is the likelihood of a safety issue. This may seem an “overkill”, but we consistently hear about consumer goods catching fire. One cell phone is banned by all airlines as the chances that it will catch fire is considered too high to put passengers' lives at risk. Safety engineering does not make adequate use of statistical analysis to understand and prevent unsafe conditions.
当你的测量值刚好在限制范围内或刚好在限制范围之外时,这意味着什么?处理由于测量误差引起的风险及其对安全的影响
在安全工程中,有时读数表明结果超过了限制。例如,测量结果为5.51V,极限为5.50V。这样的读数是否超出了限制?是否存在安全问题?答案不是简单的是或否。需要考虑一些因素,例如,这种测量对产品安全有多重要?换句话说,是否存在安全风险?要回答这个问题,我们需要了解公差的影响。这包括所使用的测量仪器的公差,以及被测电路的公差。首先简要回顾测量误差,然后简要讨论统计显著性。然后使用统计技术和风险管理来确定读数是否超出公差以及安全问题的可能性。这可能看起来有点“小题大做”,但我们经常听到消费品着火的消息。所有航空公司都禁止携带手机,因为手机着火的可能性太高,不会危及乘客的生命安全。安全工程没有充分利用统计分析来了解和预防不安全状况。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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