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In-Line Health Monitoring System for Aircraft Hydraulic Pumps & Motors

Award Information

Agency:
Department of Defense
Branch:
Office of the Secretary of Defense
Award ID:
54702
Program Year/Program:
2001 / SBIR
Agency Tracking Number:
012ML-0348
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: 2001
Title: In-Line Health Monitoring System for Aircraft Hydraulic Pumps & Motors
Agency / Branch: DOD / OSD
Contract: F33615-02-M-5000
Award Amount: $99,970.00
 

Abstract:

Impact Technologies proposes to develop and demonstrate a monitoring system that assesses the health of aircraft hydraulic pumps and motors. The approach described herein includes performance models, feature level fusion, and adaptive modeling forestimating degradation through the collection of in-line pump data and onboard processing. This model-based and feature fusion approach will significantly improve the remaining life predictions over what is possible using single parameter trending. Theappropriate performance and degradation models will be developed within a probabilistic framework that inherently captures distributions in the data due to random processes and measurement error. Moreover, the failure probability framework will directlyidentify confidence bounds associated with specific component failure modes progression. By providing continuous, on-line updates/adjustments of the critical parameters used by the fatigue/damage models based on system level measurements, more accuratefailure rate predictions can be made throughout the life of the component. Impact Technologies proposes to develop and demonstrate a monitoring system that assesses the health of aircraft hydraulic pumps and motors. The approach described herein includesperformance models, feature level fusion, and adaptive modeling for estimating degradation through the collection of in-line pump data and onboard processing. This model-based and feature fusion approach will significantly improve the remaining lifepredictions over what is possible using single parameter trending. The appropriate performance and degradation models will be developed within a probabilistic framework that inherently captures distributions in the data due to random processes andmeasurement error. Moreover, the failure probability framework will directly identify confidence bounds associated with specific component failure modes progression. By providing continuous, on-line updates/adjustments of the critical parameters used bythe fatigue/damage models based on system level measurements, more accurate failure rate predictions can be made throughout the life of the component.

Principal Investigator:

Carl Byington
Manager of R&D
8148616273
carl.byington@impact-tek.com

Business Contact:

Mark Redding
President
7164241990
mark.redding@impact-tek.com
Small Business Information at Submission:

IMPACT TECHNOLOGIES, LLC
125 Tech Park Drive Rochester, NY 14623

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