Improving Digital System Diagnostics Through Prognostic and Health Management (PHM) Technology
Mark Baybutt, Chris Minnella, Antonio E. Ginart, Patrick W. Kalgren, Michael J. Roemer · IEEE Transactions on Instrumentation and Measurement · 2008
This paper presents work on the development of a robust online digital electronic health management system. The presented technical approach integrates collaborative diagnostic and prognostic techniques from engineering disciplines, including statistical reliability, damage accumulation modeling, physics-of-failure modeling, signal processing and feature extraction, and automated reasoning algorithms. The prognostic and health management (PHM) approach is based on a paradigm of minimally invasive onboard monitoring paired with model-based estimates to deliver timely and accurate health assessments.