Innovative Submersible Outboard Cable Failure Detection and Prediction Device

Award Information
Agency:
Department of Defense
Branch
Navy
Amount:
$79,959.00
Award Year:
2010
Program:
SBIR
Phase:
Phase I
Contract:
N65538-10-C-0039
Award Id:
98451
Agency Tracking Number:
N101-057-0700
Solicitation Year:
n/a
Solicitation Topic Code:
NAVY 10-057
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:
James Hofmeister
Principal Investigator
(520) 742-3300
james.hofmeister@ridgetopgroup.com
Business Contact:
Douglas Goodman
President and CEO
(520) 742-3300
doug.goodman@ridgetopgroup.com
Research Institution:
n/a
Abstract
Ridgetop Group will develop a non-destructive, ruggedized toolset consisting of a personal hand-held device that uses an innovative, compact Power Draw Correlation Technique to detect damage to multi-conductor Submersible High Data Rate (SubHDR) cables. The toolset also consists of an innovative adaptive time-to-failure (ATTF) prognostic algorithm to generate accurate remaining useful life (RUL) estimates for detected damaged cables, such as those in the sensor masts of Virginia class submarines. A hand-held device transmits pseudorandom bit sequences (PRBS) along the cable: in the presence of cable damage, the PRBS energy reflects along the cable and the scattered energy will not be random. Using auto-correlation (correlogram), non-random energy causes peaks in the correlation integral; a signal phase shift indicates the damage location. As the cable damage increases, the strength of the correlogram signal increases, and this signal characteristic is a fault-to-failure progression (FFP) signature that is input to the ATTF prognostic algorithm. Ridgetop will also investigate whether time-domain reflectometry (TDR) can determine damage locations.

* information listed above is at the time of submission.

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