Sentient Autonomous Maintainer (SAM) for Marine Diesel Engines

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N65538-04-M-0086
Agency Tracking Number: N041-079-1703
Amount: $69,951.00
Phase: Phase I
Program: SBIR
Awards Year: 2004
Solicitation Year: 2004
Solicitation Topic Code: N04-079
Solicitation Number: 2004.1
Small Business Information
MANAGEMENT SCIENCES, INC.
6022 Constitution Avenue NE, Albuquerque, NM, 87110
DUNS: 094142122
HUBZone Owned: N
Woman Owned: Y
Socially and Economically Disadvantaged: N
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
MSI will collaborate with various diesel engine manufacturers to create a Sentient Autonomous Maintainer (SAM) for remote diagnostics, prognostics, and self-maintenance of marine diesel engines for use on Unmanned Surface Vehicles (USVs). This SAM will monitor the engine¡_s current state, predict the engine¡_s future state, automatically correct conditions when possible, and report impending or current failures to the remote controller. The SAM will make use of Bayesian based artificial intelligence algorithms to operate as an automated Prognostic Health Management (PHM) system. The PHM system will collect and fuse operations data with performance data and then use Physics of Failure models to 1) estimate the state of sensored and hidden conditions, 2) predict time to transition to future failure states, 3) estimate the degree (probability) of safety and economic risk in the predictions, and 4) provide accurate decision support. PHM has been shown to be valuable in providing advanced warning of conditions that lead to failure of expensive weapon systems so that Condition Based Maintenance can be performed in a timely and effective manner.

* information listed above is at the time of submission.

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