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:
2010 / SBIR
Agency Tracking Number:
N081-038-0439
Solicitation Year:
N/A
Solicitation Topic Code:
NAVY 08-038
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 2
Fiscal Year: 2010
Title: Automated Knowledge Discovery and Reliability Analysis for the F414 Engine
Agency / Branch: DOD / NAVY
Contract: N68335-10-C-0113
Award Amount: $749,548.00
 

Abstract:

Impact Technologies, LLC proposes to further develop and demonstrate an automated knowledge discovery and reliability analysis tool for the F414 engine. The work is based on available data in NAVY databases such as DECKPLATE or DECKETR or potentially the Maintenance Data Warehouse (MDW) maintained by GE. Knowledge discovery techniques will be applied to maintenance records. Using that knowledge, innovative reliability analysis techniques will calculate component reliabilities using tracked life usage indicators and maintenance information. These techniques are well suited to addressing the competing risk problem as we deal with multiple failure modes and the right-censoring problem, as components are maintained before they fail. Once fleet-wide in-service component reliability is calculated, it will be trended and tracked. Users will be notified of any significant deviations in reliability early on. An opportunistic maintenance/component matching optimization module will also use in-service reliability to make recommendations on warranted maintenance and component replacement selection. Specifically the core innovations of the proposed work include: 1) a knowledge discovery module that processes maintenance records, trends reliability and detects outliers; 2) an in-service component reliability analysis module based on historical maintenance records; and 3) an opportunistic maintenance/component matching optimization module that would maximize the expected time on wing.

Principal Investigator:

Scott Valentine
Manager, Maint. & Logisti
5854241990
scott.valentine@impact-tek.com

Business Contact:

Mark 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