Opportunities for improved 80%/80% statistical methods with CISPR 32

L. Kolb
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引用次数: 2

Abstract

CISPR 22 and CISPR 32 both require statistical compliance, specifically that products demonstrate with at least 80% confidence that at least 80% of the product population passes the radiated and conducted emissions limits. There have been problems applying the statistical test specified in CISPR 22 to real products because the method assumes a normal distribution, and products often exhibit characteristics which do not fit that model. For example, if the shielding or grounding in electronic equipment is not consistent unit to unit, it can result in bimodal or multi-modal distributions of some emissions. The bimodal distribution may be a common cause behind signal frequencies which appear as significant emissions in some units but are unmeasurable in others. CISPR 32 introduces more options for tools which may be used to demonstrate 80/80 compliance, notably the binomial distribution test, which is robust enough to accommodate a wide variety of population distributions. When CISPR 32 replaces CISPR 22 as the emissions standard, this binomial test method should be available for product qualifications.
利用CISPR 32改进80%/80%统计方法的机会
CISPR 22和CISPR 32都要求统计符合性,特别是产品以至少80%的置信度证明至少80%的产品人口通过了辐射和传导排放限制。将CISPR 22中规定的统计检验应用于实际产品存在问题,因为该方法假设为正态分布,而产品通常表现出不适合该模型的特征。例如,如果电子设备中的屏蔽或接地在单元之间不一致,则可能导致某些发射的双峰或多峰分布。双峰分布可能是信号频率背后的共同原因,信号频率在某些单位中表现为显著的发射,但在其他单位中无法测量。CISPR 32引入了更多可用于证明80/80合规性的工具选项,特别是二项分布测试,它足够强大,可以适应各种人口分布。当CISPR 32取代CISPR 22作为排放标准时,应采用这种二项式测试方法进行产品鉴定。
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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