Prognostic Health Management for Electronics

Prognostics Health Management (PHM) is the interrogation of system state and the assessment of product survivability in deployed systems using non-destructive assessment of underlying damage. System health is generally assessed in the actual operating environment. The prior stress history to which the system may have been subjected may not be known in several cases. Prognostics Health Management is very different from reliability prediction, which often assumes pristine materials and uses models that require definitive specification of environmental loads.

Figure 1: Approach for PHM for Thermo-mechanics, Shock and Vibration Environments

Figure 1: Approach for PHM for Thermo-mechanics, Shock and Vibration Environments

Recently, PHM has emerged as a key enabling technology for providing an early warning of failure. Early warnings may be used to forecast planned maintenance and assess the potential for life extensions. PHM has been applied to machines, aircrafts, bridges, electronics, and bio-implantable systems. Avionic systems require ultra-high reliability operation with minimal downtime. Automotive safety features such as anti-lock braking, airbags, and collision avoidance systems depend on the electronics utilized for their performance and reliability. Implantable biological systems are often life sustaining in nature. Deployed electronic systems often may be subjected to multiple thermal environments. Thermal environments may change due to operational factors or changes in usage profiles. Decision support for re-deployment requires PHM-based methods for assessment of the operational readiness of electronic systems, which is based on accrued damage and residual life in the intended environment. PHM will enable self-cognizant systems capable of assessing their own real-time performance under actual usage conditions and adaptively trigger risk mitigation actions to virtually eliminate unplanned failures.

Representative Recent Publications

Lall, P., Zhang, H., Prognostication of Remaining Useful-Life for Flexible Batteries in Foldable Wearable Electronics, Proceedings of the IEEE 2016 International Conference on Prognostics and Health Management (ICPHM2016), Ottawa, ON, pp. 1-10, June 20-22, 2016.

Lall, P., Deshpande, S., Nguyen, L., ANN Based RUL Assessment for Copper-Aluminum Wirebonds Subjected to Harsh Environments, Proceedings of the IEEE 2016 International Conference on Prognostics and Health Management (ICPHM2016), Ottawa, ON, pp. 1-10, June 20-22, 2016.