一种新的故障测试率的概率估计方法

丁瑾; 胡健栋

一种新的故障测试率的概率估计方法

丁瑾,
胡健栋

计量
- 文章访问数: 1934
- HTML全文浏览量: 142
- PDF下载量: 465
- 被引次数: 0
出版历程
- 收稿日期: 1993-09-28
- 修回日期: 1994-05-03
- 刊出日期: 1995-01-19

A NEW PROBABILISTIC APPROACH TO ESTIMATE TESTABILITY

摘要

摘要: 本文提出了一种新的估计故障测试率的方法。它使用了无故障模拟的概念,观察率和控制率被定义成观察和控制电路节点的概率;分析了电路中节点的随机信号的概率分布;证明了控制率是服从正态分布的;依此获得了故障测试率的无偏估计。按照观察率的定义,我们处理了扇出节点。对一些实际的电路,利用此法所获得的故障覆盖与故障模拟结果非常吻合。
- 概率估计方法; 控制率; 观察率; 故障测试率; 故障覆盖
Abstract: A new approach to calculate fault detection probabilities is presented. The fault-free simulation is used in this approach. The quantities of controllabilities and observabilities are defined as probabilities of controlling and observing the nodes in the circuit. The probability distribution of random signals at circuit nodes is analyzed, and it is proved that controllability is in normal distribution. Thus the unbiasing estimate of fault detection probability can be obtained. According to the concept of observability, the fanout nodes are dealt with. For actual circuits the fault coverage obtained from this approach agrees favorably with the fault simulation results.

HTML全文

参考文献(1)

Lala P K. Fault tolerant and testable hardware design. London: Prentice-Hall International Inc., 1985, Chapter 6, Section 1.[2]Agrawal V D. Journal of Digital Systems, 1981, 5(3):189-202.[3]Franc Brgler, On testability analysis of combinational networks. Proc. of IEEE International Symposium on Circuits and Systems. Montreal: 1984, 221-225.[4]Agrawal V D, Seth S C. Probabilistic testability. Proc. of IEEE International Conference on Computer Design. New York: 1985, 562-565.[5]Hans-Joachim Wunderlich, PROTEST: A tool for probabilistic testability analysis, Proc. of 22nd Design Autumation Conference- New York: 1985, 204-211.[6]Agrawal S J, Agrawal V D. IEEE Design and Test of Computers, 1985, 2(1):38-44.[7]潘榆奇,等.一个实用化的测试产生系统--COMPA ATPGS.北京:中国科学院计算技术研究所CAD开放研究实验室年报,1991,334-342.[8]Feller W. An introduction to probability theory and its applications, Vol. 1, New York: Wiley, 1957, Chapter 7, Section 2.[9]Dacunha-Castelle Didier. Probability and statistics. New York: Springer-Verlag, 1986, Chapter 5, Section 3 and Chapter 1, Section 3.[10]Papoulis A. Probability, random variables and stochastic processes. New York: McGraw Hill, 1984, Ch. 2, 6.[11]韩崇昭，等.随机系统理论.西安:西安交通大学出版社,1986,第三章,第二节.[12]刘志万.实验数据的统计分析和计算机处理.合肥:中国科学技术大学出版社,1989,第二章,第一节.

施引文献

资源附件(0)

访问统计