基于行列奇偶校验和特征分析法的数字系统自诊断技术

提出一种用行列奇偶校验原理和特征压缩技术实现的数字电路板自诊断技术，讨论 了它对电路板上固定型故障的定位性能。此方案可准确定位电路板上单模块故障和位于同行 或同列的多模块故障，并可将其它多模块故障定位在一个较小的区间里。讨论了故障模块数目 的分布情况，从中可以看到单模块故障和双模块故障出现的概率在所有故障的出现概率中占 有很大比例，因而本方案具有较大的实用价值。

Self-diagnosis technique for digital system based on row-column parity check and signature analysis

A new design approach for self-diagnosis boards, based on the principle of rowcolumn parity check and signature analysis,is presented. The approach can be applied to diagnosing any single--module and the multi--module faults which are all located at the same row or column of the board. For other multi--module faults,it can be located to a small area. The distribution of the numbers of the fault modules is also discussed. From the discussion,it can be seen that the single--module and the double--module faults dominate all of the faults on the board associating with the fault probability. The structure to realize our approach is simple and easy. Therefore,it has realistic value.