Title :
IEEE standards for prognostics and health management
Author :
Sheppard, John W. ; Kaufman, Mark A. ; Wilmering, Timothy J.
Author_Institution :
Johns Hopkins Univ., Baltimore, MD
Abstract :
Recently, operators of complex systems such as aircraft, power plants, and networks, have been emphasizing the need for online health monitoring for purposes of maximizing operational availability and safety. The discipline of prognostics and health management (PHM) is being formalized to address the information management and prediction requirements for addressing these needs. In this paper, we will explore how standards currently under development within the IEEE can be used to support PHM applications. Particular emphasis will be placed on the role of PHM and PHM-related standards with Department of Defense (DOD) automatic test systems-related research.
Keywords :
automatic test equipment; condition monitoring; IEEE standards; online health monitoring; prognostics and health management; Air safety; Aircraft; Automatic testing; Health and safety; Health information management; Monitoring; Power generation; Prognostics and health management; Standards development; US Department of Defense; AI-ESTATE; CBM; PHM; Prognostics; SIMICA;
Conference_Titel :
AUTOTESTCON, 2008 IEEE
Conference_Location :
Salt Lake Cirty, UT
Print_ISBN :
978-1-4244-2225-8
Electronic_ISBN :
1088-7725
DOI :
10.1109/AUTEST.2008.4662592