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Data Driven Prognostics

Award Information

Department of Defense
Missile Defense Agency
Award ID:
Program Year/Program:
2003 / STTR
Agency Tracking Number:
Solicitation Year:
Solicitation Topic Code:
Solicitation Number:
Small Business Information
Techno-Sciences, Inc.
11750 Beltsville Drive 3rd Floor Beltsville, MD -
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Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
Phase 1
Fiscal Year: 2003
Title: Data Driven Prognostics
Agency / Branch: DOD / MDA
Contract: DASG6003P0332
Award Amount: $69,729.00


In this SBIR Project we will develop and demonstrate novel general algorithms for anomaly detection in complex systems. Component wear in electrical and mechanical system components causes degradation that occurs on a slow time scale with respect to theobserved system behavior and is evident in very small magnitude changes to system behavior long before a component's eventual failure. An objective of the proposed research is to detect the precursors to slowly approaching failures in order that theremaining life of critical components can be accurately predicted at an early stage. We propose a novel approach for anomaly detection in complex systems using the tools of computational dynamics and pattern discovery. The predictive algorithms will betested on a subsystem of the Airborne Laser. New advances in sensor technology, failure analysis techniques, system predictive modeling, data fusion and automated reasoning algorithms are beginning to make it possible for these predictive technologies tobe developed into a complete Prognostic Health Monitoring system. These same core technologies could be harnessed for almost any type of equipment. As a result of the development of predictive maintenance technologies, we could witness an incrediblerevolution in the way large multi-unit electromechanical systems, such as ships; aircraft or even power plants are maintained.

Principal Investigator:

Carole Teolis
Director, Systems Engineering

Business Contact:

Amy Hizoune
Vice President, Finance
Small Business Information at Submission:

Techno-Sciences, Inc.
10001 Derekwood Lane, Suite 204 Lanham, MD 20706

EIN/Tax ID: 952954785
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
Research Institution Information:
Mechanical Engineering Dept, Pennsylvania State University
University Park, PA 16802
Contact: Jackie Kline
Contact Phone: (814) 865-6377
RI Type: Nonprofit college or university