A Collaborative Environment for Data Driven Condition Based Maintenance

Award Information
Agency:
Department of Defense
Branch:
Missile Defense Agency
Amount:
$3,775,540.00
Award Year:
2005
Program:
SBIR
Phase:
Phase II
Contract:
HQ0006-05-C-7252
Agency Tracking Number:
031-0735
Solicitation Year:
2003
Solicitation Topic Code:
MDA03-029
Solicitation Number:
2003.1
Small Business Information
MANAGEMENT SCIENCES, INC.
6022 Constitution Avenue NE, Albuquerque, NM, 87110
Hubzone Owned:
N
Socially and Economically Disadvantaged:
N
Woman Owned:
Y
Duns:
094142122
Principal Investigator
 Kenneth Blemel
 Vice President
 (505) 255-8611
 kenneth_blemel@mgtsciences.com
Business Contact
 Marlene Blemel
Title: President
Phone: (505) 255-8611
Email: kay_blemel@mgtsciences.com
Research Institution
N/A
Abstract
This Phase II SBIR proposal presents a new platform for development, validation, and deployment of health and status assessment and decision support applications. At the core of this platform is MSI’s Collaborative Bayesian Application Engineering Environment (CBAEE) for developing models supporting signature recognition, condition assessment, and decision support. This Collaborative Engineering Environment provides graphical model construction, automated model calibration and structure learning, statistical data analysis, and automated model validation. It supports development of robust high performance statistical models that combine information from signature recognition with dynamic trending and auto-correlation analysis. MSI has teamed with Boeing Corporation to develop, integrate, and test health assessment and decision support applications for the Airborne Laser weapon system. This system will process signature data, operating logs and other data that characterize the operating condition of equipment. The two year Phase II contract has several goals: 1) to system engineer a robust Collaborative Bayesian Model Engineering Environment, 2) to develop the software applications for health monitoring and decision support using this toolkit, 3) to test and validate these applications with ABL equipment data and signatures in conjunction with the ABL operations, support and maintenance teams, and 4) to transition the toolkit for use by MDA and DoD programs.

* information listed above is at the time of submission.

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