An alternative fault-detection method using predictive sensitivity

Traditional algorithms for determining defective components using circuit card data can provide inconsistent results. Model-based tools and expert systems derive conclusions using circuit performance data, circuit theory and statistics. The authors have developed a predictive sensitivity approach which views failure paths and actual failure data to identify alternate fault-isolation strategies