Referenced Items are not available for this document.
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.
Published in:
Instrumentation and Measurement, IEEE Transactions on
(Volume:58
,
Issue:
2
)
Date of Publication: Feb. 2009
- Page(s):
- 255 - 262
- ISSN :
- 0018-9456
- INSPEC Accession Number:
- 10390689
- Digital Object Identifier :
- 10.1109/TIM.2008.2005966
- Product Type:
- Journals & Magazines
- Date of Publication :
- 21 November 2008
- Date of Current Version :
- 06 January 2009
- Issue Date :
- Feb. 2009
- Sponsored by :
- IEEE Instrumentation and Measurement Society
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