Condition-based Failure Prognostic Health Management Systems

Award Information
Agency:
Department of Defense
Branch
Air Force
Amount:
$99,965.00
Award Year:
2010
Program:
SBIR
Phase:
Phase I
Contract:
FA8501-10-P-0119
Award Id:
97510
Agency Tracking Number:
F093-207-0502
Solicitation Year:
n/a
Solicitation Topic Code:
AF 09-207
Solicitation Number:
n/a
Small Business Information
6595 North Oracle Road, Tucson, AZ, 85704
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
157955597
Principal Investigator:
JamesHofmeister
Principal Investigator
(520) 742-3300
james.hofmeister@ridgetopgroup.com
Business Contact:
DouglasGoodman
President and CEO
(520) 742-3300
doug.goodman@ridgetopgroup.com
Research Institute:
n/a
Abstract
Ridgetop Group will develop an improved method of supporting condition-based maintenance through the analysis of historical data, and direct but non-intrusive physics-of-failure measurements. The measurements apply a unique Pseudo-Random Noise (PRN) method and autocorrelation approach to detect anomalous operation that precedes failure. The Adaptive Time-to-Failure (ATTF) algorithm will continuously collect and process incoming data from both electronic and mechanical sources to provide on-going and updated estimates on the systems' remaining useful life (RUL). This improved RUL estimate, in turn, supports comprehensive Condition-based Maintenance (CBM) for advanced Air Force Systems. The SBIR Program work plan leverages Ridgetop's prior work in prognostics technologies and extends the state-of-the art in effective determination of system State-of-Health (SoH) and Remaining Useful Life (RUL). BENEFIT: The untimely failure of advanced systems presents a danger to the warfighter and can be mitigated or minimized through the adoption of condition-based maintenance. These advanced systems require new techniques that detect the extent of degradation or aging, and translate that information into an updated estimate of remaining useful life so that maintenance can be scheduled for non-mission critical timeframes. In addition to Aerospace applications, electronic controls have become pervasive in critical automotive applications including anti-lock braking, active suspensions, engine controls and with electromechanical actuators. Other critical areas include medical scanners and banking systems where the cost of unscheduled down-time is prohibitive.

* information listed above is at the time of submission.

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