Rotary Wing Dynamic Component Structural Life Tracking

Award Information
Agency:
Department of Defense
Branch
Navy
Amount:
$1,399,947.00
Award Year:
2013
Program:
SBIR
Phase:
Phase II
Contract:
N68335-13-C-0086
Award Id:
n/a
Agency Tracking Number:
N081-006-0548a
Solicitation Year:
2008
Solicitation Topic Code:
N08-006
Solicitation Number:
2008.1
Small Business Information
3190 Fairview Park Drive, Suite 650, Falls Church, VA, -
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
010983174
Principal Investigator:
Nagaraja Iyyer
Director of Engineers/Fal
(703) 237-1300
niyyer@tda-i.com
Business Contact:
Scott Bradfield
President
(703) 237-1300
sbradfield@tda-i.com
Research Institute:
Stub




Abstract
United States Navy (USN) program offices have struggled with rotorcraft component history tracking for years, and still spend millions in trying to obtain accurate component history and maintenance information. This is mainly due to records that are kept manually through paperwork systems such as Scheduled Removal Component and Assembly Service Record (SRC and ASR) cards, which are prone to human errors. Because of the lack of reliable component histories, penalties must be imposed when such data cannot be validated. By implementing an electronic record keeping system (eSRC and eASR), point-of-entry data validation will enable highly accurate transaction records to be interrogated instantaneously, world-wide by all stakeholders. The eSRC/eASR system will reduce Total Ownership Costs (TOC) through optimum asset life management and maintenance planning. This also satisfies the USN"s end goal of real-time tracking, gathering complete component usage history to accurately predict the life of each component, and subsequently eliminating penalties imposed due to unknown usage histories. Preserving complete component installation and usage history, along with the implementation of advanced prognostics tools can enable Performance Based Logistics (PBL) as well as Condition Based Maintenance (CBM). TDA proposes an innovative architecture for CBM processing, data visualization, data mining, and prognostics, called HeloTrack.

* information listed above is at the time of submission.

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