基于振荡的参数故障检测质量评估

José Peralta, Marcelo Costamagna, G. Peretti, E. Romero, C. Marqués
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引用次数: 4

摘要

提出了一种新的基于振荡测试(OBT)的性能表征方法。在非故障参数同时存在统计波动的情况下,评估了OBT检测偏差故障的能力。为此,我们使用蒙特卡罗模拟和故障模型,该模型认为被测滤波器中只有一个组件是故障的,而其他组件采用从其无故障统计分布中获得的随机值。这里报告的新数据显示(对于所研究的滤波器)存在难以测试的组件和小偏差故障的低故障覆盖率值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Estimating the quality of Oscillation-Based Test for detecting parametric faults
This paper proposes a new performance characterization for Oscillation-Based Test (OBT). The ability of OBT for detecting deviation faults under simultaneous statistical fluctuation of the non-faulty parameters is evaluated. For this purpose, we use Monte Carlo simulations and a fault model that considers as faulty only one component of the filter under test while the others components adopt random values obtained from their fault-free statistical distributions. The new data reported here show (for the filters under study) the presence of hard-to-test components and low fault coverage values for small deviation faults.
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