Mems built-in-self-test using MLS

A. Dhayni, S. Mir, L. Rufer
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引用次数: 23

Abstract

This paper presents a Built-In-Self-Test (BIST) implementation of pseudo-random testing for Micro Electro-Mechanical Systems (MEMS). The technique is based on Impulse Response (IR) evaluation using Maximum-Length Sequences (MLS). We will demonstrate the use of this technique and move forward to find the signature that is defined as the necessary samples of the impulse response needed to carry out an efficient test. We will use Monte-Carlo simulations to find the set of all fault-free devices under test (DUT). This set defines the impulse response space and the signature space. A DUT will be judged fault-free according to its signature being inside or outside the boundaries of the signature space. Finally, the test quality will be evaluated as function of the probabilities of false acceptance and false rejection, yield and percentage of test escapes. According to these test metrics, the design parameters (length of the MLS and the precision of the analogue to digital converter ADC) will be derived.
Mems内置自检使用MLS
提出了一种微机电系统(MEMS)伪随机测试的内置自检(BIST)实现方法。该技术基于脉冲响应(IR)评估,使用最大长度序列(MLS)。我们将演示这种技术的使用,并继续寻找被定义为进行有效测试所需的脉冲响应的必要样本的签名。我们将使用蒙特卡罗模拟来找到所有被测无故障设备(DUT)的集合。这个集合定义了脉冲响应空间和签名空间。根据其签名在签名空间的边界内或边界外,判断被测对象是否无故障。最后,测试质量将作为错误接受和错误拒绝概率、产量和测试逃避百分比的函数进行评估。根据这些测试指标,推导出设计参数(MLS的长度和模数转换器ADC的精度)。
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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