Modeling, Simulation, and Other Techniques to Verify and Validate Prognostic and Health Maintenance (PHM) Capabilities

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N68335-04-C-0196
Agency Tracking Number: N041-028-1446
Amount: $69,990.00
Phase: Phase I
Program: SBIR
Awards Year: 2004
Solicitation Year: 2004
Solicitation Topic Code: N04-028
Solicitation Number: 2004.1
Small Business Information
8777 E.Via de Ventura, Suite 120, Scottsdale, AZ, 85258
DUNS: 798611331
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: Y
Principal Investigator
 William Wang
 President and CEO
 (480) 752-7909
Business Contact
 Mike James
Title: Vice President
Phone: (480) 752-7909
Research Institution
Scientific Monitoring, Inc. (SMI) proposes to develop and mature an advanced modeling and simulation technology for verifying and validating (V&V) system/vehicle health management (S/VHM) capability. The technology is intended to provide an effective, affordable, flexible demonstration and evaluation environment to mature Prognostics and Health Management/Maintenance (PHM) as well as integrated control and PHM software throughout their product life cycles. The research addresses the following needs: 1) Advanced flight-worthy software such as the PHM or Integrated Vehicle Health Management (IVHM) software are being developed for advanced vehicles like the Joint Strike Fighter (JSF), there is a need to V&V advanced software and continue to mature (improve and update) the software even after it is fielded. 2) V&V is typically the most costly and time-consuming step in the development of flight-critical software due to rigorous safety requirements. Technologies that make V&V more affordable are desired. 3) Traditional V&V is a process that occurs throughout System Design (design-time techniques). Although limited run-time assurance methods, such as the built-in-test (BIT), are used, the risk of the software is high. An integrated design-time and run-time assurance technique is needed to systematically reduce complexity and risk of software development as well as maintain or increase safety margins.

* Information listed above is at the time of submission. *

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