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Expert Polynomial Network Turbine Engine Diagnostician

Award Information
Agency: Department of Defense
Branch: Army
Contract: N/A
Agency Tracking Number: 20539
Amount: $49,676.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: N/A
Solicitation Number: N/A
Solicitation Year: N/A
Award Year: 1993
Award Start Date (Proposal Award Date): N/A
Award End Date (Contract End Date): N/A
Small Business Information
700 Harris Street
Charlottesville, VA 22903
United States
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Gerard J. Montgomery
 (804) 977-0686
Business Contact
Phone: () -
Research Institution

The objective of this effort is to demonstrate a prototype advanced diagnostic system for the T800 turboshaft engine using a hybrid polynomial network and production-rule expert system. The resulting system will demonstrate the feasibility of developing a revolutionary diagnostic capability which can model the engine at a system level, detect failures before they become signficant isolate faults, estimate the loss of efficiency of various engine components, and predict future faults. AbTech has developed an innovative network approach, called polynomial networks, based on over a decade of research in neural networks and advanced statistics. Polynomial networks are simply networks of very powerful high-order polynomial equations. It discusses how networks can be applied to substantially increase the control and diagnostic capabilities of systems in a practical and very cost-effective manner. It then details a specific project to integrate and apply the existing AIM software and a production-rule system to T800 engine diagnostics.

* Information listed above is at the time of submission. *

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