Development of Novel and Emerging Technology for the Enhancement of Fault Diagnostics

Award Information
Agency:
Department of Defense
Branch
Navy
Amount:
$79,993.00
Award Year:
2014
Program:
SBIR
Phase:
Phase I
Contract:
N68335-14-C-0128
Award Id:
n/a
Agency Tracking Number:
N132-144-0530
Solicitation Year:
2013
Solicitation Topic Code:
N132-144
Solicitation Number:
2013.2
Small Business Information
AZ, Tucson, AZ, 85741-2276
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
Y
Duns:
157955597
Principal Investigator:
KyleFerrio
Senior Principal Engineer
(520) 742-3300
kferrio@ridgetopgroup.com
Business Contact:
DougGoodman
President and CEO
(520) 742-3300
dgoodman@ridgetopgroup.com
Research Institute:
n/a
Abstract
The critical navigational precision of the nuclear-powered ballistic missile submarine fleet is based on the aging Electrostatically Supported Gyroscope Navigator (ESGN). The increasing frequency of repairs and increasing Mean Time To Repair (MTTR) for ESGN systems have potential to affect mission readiness. Ridgetop Group proposes an Expert Troubleshooting Action System (ETAS) to reduce mean time to repair (MTTR) and increase mean time between failures (MTBF). The novel machine learning system combines accelerated diagnostics with prognostics to detect signatures of incipient failure. This optimized approach enables simultaneous preventive and corrective maintenance within prescribed time-constraints. The diagnostic element builds on Ridgetop"s experience in prioritized analytical troubleshooting, anchored in historical repair actions and outcomes from existing best practices for the ESGN. Difficult-to-diagnose faults (e.g., intermittent connections and marginal stability) will receive particular focus. The prognostic element will integrate diagnostic data with"what-if"analyses and physics-of-failure models to identify likely next failures and corresponding time horizons. The prognostic element leverages Ridgetop"s core strengths in prognostic health management (PHM) and condition-based maintenance (CBM) for complex electronic and electromechanical equipment. Ridgetop will formulate metrics in Phase I to drive maturation of the approach in Phase II.

* information listed above is at the time of submission.

Agency Micro-sites


SBA logo

Department of Agriculture logo

Department of Commerce logo

Department of Defense logo

Department of Education logo

Department of Energy logo

Department of Health and Human Services logo

Department of Homeland Security logo

Department of Transportation logo

Enviromental Protection Agency logo

National Aeronautics and Space Administration logo

National Science Foundation logo
US Flag An Official Website of the United States Government