Towards Defining and Allocating PHM Requirements for Military Systems

##plugins.themes.bootstrap3.article.main##

##plugins.themes.bootstrap3.article.sidebar##

Joel J. Luna

Abstract

Issues and methods of relating program requirements to PHM requirements and allocation of PHM requirements to lower system levels are discussed as alternatives to technology-driven approaches. This paper focuses on evaluating program requirements for improving reliability for military systems with a required maintenance free operating period. Reliability improvements are related to PHM attributes, which are condensed to two primary attributes: coverage and inefficiency. Methods of allocation of higher level PHM requirements to lower level requirements are examined, focusing on a normalized weighting approach. An alternative approach beginning with coverage estimates is also examined. A discrete-event simulation model is developed and exercised to confirm analytical results.

How to Cite

J. Luna, . J. . (2010). Towards Defining and Allocating PHM Requirements for Military Systems. Annual Conference of the PHM Society, 2(1). https://doi.org/10.36001/phmconf.2010.v2i1.1801
Abstract 34 | PDF Downloads 45

##plugins.themes.bootstrap3.article.details##

Keywords

logistics, diagnostic and prognostic metrics, Requirements, simulation

References
USAF ASC/EN. (2010). ASC LCOM 3.0 Users Manual.

Bedard, P. A. (2009). Prioritizing prognostic and reliability growth investments, in Machine Failure Prevention Technology Conference, Dayton, OH.

Crowe, L. (2008). Meeting MTBF requirements using allocations, Reliability Articles, Relex Software Corporation.

Di Lorenzo, R. A., & Bayer, M. A. (2009). A prognostics and health management system for an unmanned combat aircraft system – A Defense Acquisition University case study, in

Annual Conference of the Prognostics and Health Management Society 2009, San Diego, CA.

DoD. (2009). Department of Defense Reliability, Availability, Maintainability, and Cost Rationale Report Manual.

Ebeling, C. E. (1997). An Introduction to Reliability and Maintainability Engineering, Long Grove, IL: Waveland Press, Inc.

Hess, A., Stecki, J., & Rudov-Clark, S. (2008). The Maintenance Aware Design environment: Development of an aerospace PHM software tool, in International Conference on Prognostics and Health Management (PHM08), Denver, CO.

Luna, J. J. (2008). A probabilistic model for evaluating PHM effectiveness, in International Conference on Prognostics and Health Management (PHM08), Denver, CO.

Luna, J. J. (2009). Metrics, models, and scenarios for evaluating PHM effects on logistics support, in Annual Conference of the Prognostics and Health Management Society 2009, San Diego, CA.

Luna, J. J. (2010). Consideration of tangibles and intangibles to show economic benefit of prognostics and health management, in Machine Failure Prevention Technology Conference, Huntsville, AL.

Mettas, A. (2000). Reliability Allocation and Optimization for Complex Systems, in 2000 Proceedings of IEEE Annual Reliability and Maintainability Symposium, Los Angeles, CA.

Saxena A., Celaya, J., Saha, B., Saha, S., & Goebel, K. (2009). On applying the prognostic performance metrics, in Annual Conference of the Prognostics and Health Management Society 2009, San Diego, CA.
Section
Technical Papers