We know that conventional thermal stress estimation schemes for the components on a system board will usually arrive at over-predicted results inefficiently. In this presentation, we will propose one fast and accurate estimation scheme to predict the thermal stress of the components on a TFT-LCD system board. We used the adaptive filtering methodology for the thermal stress estimation of the components on a system board. The simulation results showed that the proposed scheme could achieve prediction results accurately while the error between the predicted value and the measured value would be under 3C with 95% confidence. We used a visual image to extract the thermal information of any component on the system board so we could predict the thermal stress more efficiently. We eventually used Demings Plan, Do, Check, Act (PDCA) cycle methodology to address the issues of Design for Reliability.

Key Words: PDCA, CST, Adaptive Filter, LMS, SD, MSE