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Expert Polynomial Network Turbine Engine Diagnostician

Award Information

Agency:
Department of Defense
Branch:
Army
Award ID:
20539
Program Year/Program:
1993 / SBIR
Agency Tracking Number:
20539
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
ABTECH CORPORATION
1575 STATE FARM BLVD CHARLOTTESVILLE, VA 22911
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Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 1993
Title: Expert Polynomial Network Turbine Engine Diagnostician
Agency / Branch: DOD / ARMY
Contract: N/A
Award Amount: $49,676.00
 

Abstract:

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.

Principal Investigator:

Gerard J. Montgomery
8049770686

Business Contact:

Small Business Information at Submission:

Abtech Corp
700 Harris Street Charlottesville, VA 22903

EIN/Tax ID:
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No