USA flag logo/image

An Official Website of the United States Government

Automated Knowledge Discovery and Reliability Analysis for the F414 Engine

Award Information

Agency:
Department of Defense 		Branch:
Navy 		Award ID:
87517 		Program Year/Program:
2008 / SBIR
Agency Tracking Number:
N081-038-0439 		Solicitation Year:
N/A 		Solicitation Topic Code:
N/A 		Solicitation Number:
N/A
Small Business Information
Impact Technologies, LLC
200 Canal View Blvd Rochester, NY -
View profile »
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 2008
Title: Automated Knowledge Discovery and Reliability Analysis for the F414 Engine
Agency / Branch: DOD / NAVY
Contract: N68335-08-C-0266
Award Amount: $79,603.00
 

Abstract:

Impact Technologies, LLC, with support from General Electric, proposes to develop and demonstrate an automated knowledge discovery and reliability analysis tool for the F414 engine. The proposed work is fully based on the F414 maintenance data available in the Maintenance Data Warehouse (MDW) maintained by GE. Knowledge discovery techniques will be applied to unit, intermediate and depot level maintenance records obtained from the MDW. Using that knowledge, innovative reliability analysis techniques that are well suited to addressing the competing risk problem, as components are maintained before they fail, will be implemented in this effort. Once fleet-wide in-service component reliability is calculated, the reliability of each individual component will be tracked. Significant deviations in reliability will be detected early on and will be signaled to the user. An opportunistic maintenance optimization module will also use in-service reliability to provide decision support on what maintenance is warranted. Specifically the core innovations of the proposed work include: 1) a knowledge discovery module that processes maintenance records; 2) an in-service component reliability analysis module that addresses the competing risks problem; 3) development of a component reliability tracking module; and 4) an opportunistic maintenance optimization module that would maximize the expected time on wing.

Principal Investigator:

G. S. Valentine
Mgr., Logistics & Maintenance Sys.
5854241990
scott.valentine@impact-tek.com

Business Contact:

Mark L. Redding
President
5854241990
mark.redding@impact-tek.com
Small Business Information at Submission:

IMPACT TECHNOLOGIES, LLC
200 Canal View Blvd Rochester, NY 14623

EIN/Tax ID: 161567136
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No