NASA SBIR 2008 Solicitation

FORM B - PROPOSAL SUMMARY


PROPOSAL NUMBER: 08-1 A1.10-9580
SUBTOPIC TITLE: Detection of In-Flight Aircraft Anomalies
PROPOSAL TITLE: A Nonlinear Adaptive Approach to Isolation of Sensor Faults and Component Faults

SMALL BUSINESS CONCERN (Firm Name, Mail Address, City/State/Zip, Phone)
Impact Technologies, LLC
200 Canal View Blvd.
Rochester, NY 14623 - 2893
(585) 627-1923

PRINCIPAL INVESTIGATOR/PROJECT MANAGER (Name, E-mail, Mail Address, City/State/Zip, Phone)
Liang Tang
liang.tang@impact-tek.com
200 Canal View Boulevard
Rochester, NY 14623 - 2893
(585) 424-1990

Expected Technology Readiness Level (TRL) upon completion of contract: 4 to 5

TECHNICAL ABSTRACT (Limit 2000 characters, approximately 200 words)
Impact Technologies, LLC in collaboration with Wright State University and Pratt & Whitney, propose to develop innovative methods to differentiate sensor failure from actual system or component failure for advanced propulsion systems. In sharp contrast to many conventional methods which deal with either sensor failure or component failure but not both, our method considers sensor failure and component failure under one systematic and unified framework. The proposed solution consists of two main components: a bank of real-time nonlinear adaptive fault diagnostic estimators for residual generation and a Transferable Belief Model (TBM) based component for residual evaluation. By employing a nonlinear adaptive learning architecture, the presented approach is capable of directly dealing with nonlinear engine models and nonlinear faults without the need of linearization. Fault sensitivity and robustness to modeling uncertainty is enhanced by several important techniques including adaptive reference nonlinear engine model, adaptive diagnostic thresholds, and TBM based residual evaluation method. Software modules will be developed and integrated into the NASA C-MAPSS engine model for performance evaluation. A subset of core algorithms will be implemented and used in a hardware-in-the-loop demonstration under dSPACE environment to justify a Technology Readiness Level of 4-5 at the conclusion of Phase I.

POTENTIAL NASA COMMERCIAL APPLICATIONS (Limit 1500 characters, approximately 150 words)
The successful completion of the proposed work will lead to improvements in the safe operations of commercial and general aviation (GA) aircraft and address the goals of the NASA Aviation Safety program. The proposed fault diagnostic technologies with an emphasis on sensor/component failure isolation will be directly applicable to Propulsion IVHM, Crew Exploration Vehicle, Reusable Launch Vehicles, Unmanned Air Vehicles and future generation general aviation platforms. It will lead to benefits in the form of improved reliability, maintainability, and survivability of safety-critical aerospace systems.

POTENTIAL NON-NASA COMMERCIAL APPLICATIONS (Limit 1500 characters, approximately 150 words)
The potential commercial use of the developed technologies is broad. Examples of key customers that could benefit through use of the developed technologies include: commercial and military aircraft, unmanned combat air vehicles, JSF, future combat systems, land and marine propulsion systems, industrial actuation systems, and robotic applications. The aero propulsion domain alone has thousands of potential systems to address with this technology.

NASA's technology taxonomy has been developed by the SBIR-STTR program to disseminate awareness of proposed and awarded R/R&D in the agency. It is a listing of over 100 technologies, sorted into broad categories, of interest to NASA.

TECHNOLOGY TAXONOMY MAPPING
Aircraft Engines
On-Board Computing and Data Management


Form Generated on 11-24-08 11:56