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Autonomous Learning for Condition Based Maintenance

Award Information

Agency:
Department of Defense
Branch:
Missile Defense Agency
Award ID:
64426
Program Year/Program:
2003 / STTR
Agency Tracking Number:
03-0065T
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
Management Sciences, Inc.
6022 Constitution Avenue NE Albuquerque, NM 87110-
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Woman-Owned: Yes
Minority-Owned: No
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 2003
Title: Autonomous Learning for Condition Based Maintenance
Agency / Branch: DOD / MDA
Contract: N0017403C0048
Award Amount: $69,953.00
 

Abstract:

Our STTR project will develop a data driven prognostic system that uses automated learning algorithms with stochastic artificial intelligence models to provide advanced warning of failure, fault, and other error events. Our work is based on new theory forimplementing learning algorithms within Bayesian stochastic models that have been developed by computer scientists at the University of New Mexico Artificial Intelligence Group. Bayesian learning is a key enabling technology for accurate autonomous realtime situation assessment from operating signatures of operating equipment. Management Sciences has teamed with UNM to develop and demonstrate a library of predictive engines based on self-learning used with advanced pattern recognition techniques toidentify the early signs of malfunctioning in operating machinery and electronic systems. The predictive engines will be commercialized in Phase II. Autonomous assessment through automated learning will provide breakthroughs for situation awarenessneeded for precise dynamic control, accurate condition assessment, self directed maintenance and precision logistics. The ability to predict machine/equipment events has significant commercial potential in aircraft, power, manufacturing, processing,transportation, and other industrial applications where such capability would allow companies to improve reliability and safety, reduce downtime, and lower the direct maintenance cost of physical assets.

Principal Investigator:

Ken Blemel
Vice President
5052558611
ken_blemel@mgtsciences.com

Business Contact:

Marlene K. Blemel
President
5052558611
kay_blemel@mgtsciences.com
Small Business Information at Submission:

Management Sciences, Inc.
6022 Constitution Avenue NE Albuquerque, NM 87110

EIN/Tax ID: 850247732
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
Research Institution Information:
UNIV. OF NEW MEXICO
Department of Computer Science
Albuquerque, NM 87131
Contact: George Luger
Contact Phone: (505) 277-3112
RI Type: Nonprofit college or university