Autonomous Prognostics and Health Management (APHM)

J. Stecki, J. Cross, C. Stecki, and A. Lucas
Submission Type: 
Full Paper
phmce_12_022.pdf424 KBJune 4, 2012 - 9:29am

The objective of this paper is to show how PHM concepts can be included in the design of an autonomous Unmanned Air Vehicle (UAV) and in doing so, provide effective diagnostic/prognostic capabilities during system operation. Making use of current commercial software tools such as the JACK® autonomous software platform and MADe® - Maintenance Aware Design environment, a greater accuracy in detection of faults can be achieved, and selection of the best response actions can be provided. The authors propose a PHM Cycle that is divided into two parts covering the design of Autonomous PHM system and the operation of the PHM system in real-time application. The paper presents steps in design of APHN and an example of PHM systems, developed using above approach, to provide contingency management integrated with autonomous decision-making for power management on UAV.

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Submission Keywords: 
Artificial Agents
Submission Topic Areas: 
Health management system design and engineering
Model-based methods for fault detection, diagnostics, and prognosis
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