NDLI: Designing for health: a methodology for integrated diagnostics/prognostics

Content Provider	IEEE Xplore Digital Library
Author	Beshears, R. Butler, L.
Copyright Year	2005
Description	Author affiliation: Raytheon, McKinney, TX (Beshears, R.; Butler, L.)
Abstract	A critical element of system readiness is the effectiveness of integrated diagnostics and prognostics. Errors in detection and isolation of failures cause unnecessary maintenance actions requiring additional troubleshooting time and replacement of could not duplicates (CNDs). Integrated diagnostics/prognostics is achieved through a systems engineering closed loop process from start to finish. Every step from conceptual phase through program shut down thrives on an integrated approach to insure maximum coverage of faults and unambiguous isolation while minimizing false alarms and re-test okays (RTOKs). An integrated health management system (HMS) methodology, proposed in this paper, connects functionality, failure modes and diagnostics/prognostics under one umbrella providing a conduit for tight traceability from requirements through design, analysis, integration, verification and validation, factory testing, and fielding while encouraging maturation through data collection. This framework minimizes errors between diagnostic/prognostic analyses and actual performance, maximizes test vertically, and paves the way for a lower risk fielded product. Iterative analyses and trade studies during the concept and development phases optimize diagnostic/prognostics approaches and architecture. Analyses and simulations during the development phase optimize health sensor selection, sensor placement, test effectiveness, and test strategies (i.e. embedded vs. external, test flow, test type etc.). Analyses and test data provide the foundation for the fidelity and accuracy of a diagnostic/prognostic reasoner, which selects test sequence, filters information and reports faults and their location. A data collection system facilitates diagnostic/prognostic effectiveness trending and identifies target areas for improvement as a function of maturation during the deployment, operations and support phases. This paper describes how all these segments weave together to create a seamless closed loop diagnostic/prognostic process that fits into the new DoD 5000.2 instruction: integrated defense acquisition, technology and logistics life cycle management framework
Starting Page	90
Ending Page	95
File Size	255500
Page Count	6
File Format	PDF
ISBN	0780391012
DOI	10.1109/AUTEST.2005.1609108
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-09-26
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Systems engineering and theory Failure analysis Production facilities System testing Risk analysis Performance analysis Iterative methods Modeling Analytical models Data analysis
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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