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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.
Instrumentation and Measurement, IEEE Transactions on (Volume:58 , Issue: 2 )
Date of Publication: Feb. 2009