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Effective uncertainty management processes are essential elements in the design of prognostic modules if they to be viable for Integrated Vehicle Health Management (IVHM) systems. Modeling uncertainty, measurement and estimation uncertainties, future load uncertainty, among other factors, all potentially contribute to prognostic uncertainty. This paper analyzes the source of uncertainties in typical...
This paper introduces a novel prognostics-enhanced automated contingency management (or ACM+P) paradigm based on both current health state (diagnosis) and future health state estimates (prognosis) for advanced autonomous systems. Including prognostics in ACM system allows not only fault accommodation, but also fault mitigation via proper control actions based on short term prognosis, and moreover,...
This paper introduces the design of an integrated framework for on-board fault diagnosis and failure prognosis of a helicopter transmission component, and describes briefly its main modules. It suggests means to (1) validate statistically and pre-process sensor data (vibration), (2) integrate model-based diagnosis and prognosis, (3) extract useful features or condition indicators from data de-noised...
Automated contingency management (ACM), or the ability to confidently and autonomously adapt to fault and/or contingency conditions with the goal of still achieving mission objectives, can be considered the ultimate technological goal of a health management system. To establish confidence on the ACM system, objective performance evaluations should be executed. The need for verification and validation...
The development of a dynamic decision support (D2S) system for real-time assessments of system health and fault contingency planning for jet engine is presented. The goal of the proposed D2S system is to increase engine operation autonomy level by bridging the gap between onboard prognosis & health management (PHM) system and baseline control systems. The D2S system consists of two major functions:...
Joint Strike Fighter (JSF) autonomic logistics seeks to reduce development, production, and ownership costs for the next generation fighter aircraft by increasing system reliability, while reducing maintenance requirements to essential levels. Prognostics and health management (PHM), which enables maintenance to be planned on the basis of actual component or system health state, represents a key component...
In recent years, a significant focus has been placed on the development and implementation of advanced prognostic and health management (PHM) technologies for air vehicles both in military and industrial applications. The term PHM encompasses anomaly, diagnostic and prognostic algorithms as well as higher level reasoning algorithms for isolating root causes of faults/failures and directing optimal...
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