Fault Diagnostics, Prognostics, and Self-Healing Control of Navy Electric Machinery

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N00014-06-M-0266
Agency Tracking Number: N064-033-0136
Amount: $69,999.00
Phase: Phase I
Program: STTR
Awards Year: 2006
Solitcitation Year: 2006
Solitcitation Topic Code: N06-T033
Solitcitation Number: N/A
Small Business Information
ACTA INCORPORATED
2790 Skypark Drive, Suite 310, Torrance, CA, 90505
Duns: 131277725
Hubzone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Timothy Hasselman
 Director, Engineering Mec
 (310) 530-1008
 hasselman@actainc.com
Business Contact
 James Hudson
Title: Vice President
Phone: (310) 530-1008
Email: hudson@actainc.com
Research Institution
 SANDIA NATIONAL LABORATORIES
 Robert M Cranwell
 Systems Reliability Mail Stop
Albuquerque, NM, 87185
 (505) 844-8368
 Federally funded R&D center (FFRDC)
Abstract
ACTA Incorporated and the Center for Systems Reliability (CSR) at Sandia National Laboratories propose a seven month STTR Phase I Project to demonstrate the feasibility of developing Fault Diagnostics, Prognostics, and Self-Healing Control of Navy Electric Machinery. The new generation of Navy high power electric ships and electro-mechanical machinery challenge the predictive maintenance of ships’ combat effectiveness, survivability, crew safety, and operational cost. A data driven real-time prognostic health management (PHM) system is proposed to meet these challenges by providing continuous health monitoring for fault tolerant systems using prognostic data. The PHM System will track the likelihood of future system or subsystem failure and initiate appropriate actions in real time to maintain system performance.BENEFITS: The proposed work will provide an advanced fault diagnostics, prognostics, and self-healing control capability, ensuring cost effective and highly reliable electrical machinery systems to improve warfighting effectiveness and ensure a "limp home" capability. Systems currently exist in the navy that assesses the condition of engineering plant machinery. The linkage of diagnostic information like the Integrate Performance Analysis Report (IPAR) now mandated by the Fleet and the evolving Enterprise Performance Analysis Report (EPAR) lack direct linkage to repair and maintenance actions the associated impact on mission capability and ship sustainment. The proposed Evidence and Consequence Engine technology is ideally suited to provide solve this elusive need and to provide a near real-time solution to support the genesis of true self-healing control technology in shipboard systems.

* information listed above is at the time of submission.

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