Model Updating in Online Aircraft Prognosis Systems

Award Information
Agency:
National Aeronautics and Space Administration
Branch
n/a
Amount:
$69,497.00
Award Year:
2006
Program:
SBIR
Phase:
Phase I
Contract:
NNA06BA09C
Award Id:
77684
Agency Tracking Number:
053247
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
850 Energy Drive, Idaho Falls, ID, 83401
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
089822014
Principal Investigator:
Sean Marble
Principal Investigator
(208) 522-8560
smarble@sentientscience.com
Business Contact:
Sean Marble
Business Official
(208) 522-8560
smarble@sentientscience.com
Research Institute:
n/a
Abstract
Diagnostic and prognostic algorithms for many aircraft subsystems are steadily maturing. Unfortunately there is little experience integrating these technologies into a complete and practical on-board prognosis system, and integration often proceeds in an ad-hoc manner. Sentient Corporation proposes to develop a general-purpose architecture and set of reusable algorithms for integrating diagnostics and predictive models into an efficient and highly accurate prognostic system. The architecture is based on a flexible and powerful model updating algorithm that provides optimal fusion of diagnostics with model-based state indications and minimization of uncertainty in remaining life predictions. This project will focus on development of several key features of that algorithm, including automatic recognition of a failure that is not progressing according to the physical model, and practical considerations for on-board use such as minimizing computational and memory requirements. By the end of Phase II, Sentient will demonstrate a working prototype of an on-board prognostic system developed using the proposed architecture and tools. This demonstration will use diagnostic and model algorithms developed under the DARPA Prognosis Program, and will be compared to a large set of fault data for turbine engine and subscale bearings.

* information listed above is at the time of submission.

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