SBIR/STTR Research Award
Expert Polynomial Network Turbine Engine Diagnostician
Award amount
$49,676Program and phase
SBIR · Phase IAward year
1993Award details
- Awarding agency
- Department of Defense
- Branch
- Army
- Recipient company
- ABTECH CORPORATION
- Proposal award date
- Not reported
- Contract end date
- Not reported
- UEI
- Not reported
- Solicitation number
- Not reported
- Topic code
- Not reported
Research 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.
Technology keywords
Not reported