DocumentCode
2439744
Title
Helicopter Structural Life Modeling: Flight Regime and Gross Weight Estimation
Author
Grabill, Paul ; Brotherton, Tom ; Keller, Jonathan A.
Author_Institution
Intelligent Autom. Corp., Poway
fYear
2007
fDate
3-10 March 2007
Firstpage
1
Lastpage
9
Abstract
Accurate usage information collected by health and usage monitoring systems (HUMS) coupled with improved structural fatigue life calculation methodologies promise to reduce helicopter operational and support costs while maintaining current flight safety levels. Current fatigue life calculations assume worst-case flight profiles in determining component life. This approach may be outdated or not reflective of actual aircraft usage. IAC has developed processing to include a low cost regime recognition and aircraft gross weight estimation capability as an extension to the US Army´s vibration management enhancement program (VMEP). IAC´s approach relies on multi-sensor data fusion technology and flight parameters collected by the VMEP to provide an accurate flight regime calculation. Recording time in particular flight regimes has the potential of extending aircraft component life without changing proven lifing models. The regime recognition system has been implemented with the current release of IAC´s VMEP systems. Presented here is the methodology, development and visualization tools, and results for using the system on CH-47 aircraft.
Keywords
condition monitoring; fatigue; helicopters; sensor fusion; aircraft component life; flight regime; flight safety levels; gross weight estimation; health and usage monitoring systems; helicopter structural life modeling; multisensor data fusion technology; structural fatigue life calculation methodologies; vibration management enhancement program; Aircraft propulsion; Automation; Computerized monitoring; Costs; Fatigue; Helicopters; Intelligent structures; Life estimation; Military aircraft; Neural networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Aerospace Conference, 2007 IEEE
Conference_Location
Big Sky, MT
ISSN
1095-323X
Print_ISBN
1-4244-0524-6
Electronic_ISBN
1095-323X
Type
conf
DOI
10.1109/AERO.2007.352831
Filename
4161626
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