Design, Implementation, and Utilization of a Common Data Model for Vehicle Health Management

Shawver, M.A.; Han-son, Gao; Clark, G.J.; Gilbertson, D. D.; Kagawa, A.A.; Wang, Jian Shi

doi:10.1109/aero.2007.352920

Cited by 6 publications

(2 citation statements)

References 9 publications

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“…The technologies being researched and developed hinge on the link established between flight situational data and the maintenance actions performed. The techniques developed to establish such a link is due in large part to the common database schema created under the IAHM program [14]. While establishing a link between operational data and repair actions is useful on its own a more important use is in developing diagnostic and prognostic algorithms for aircraft systems health management.…”

Section: Resultsmentioning

confidence: 99%

“…efficiently access, store and process the vast and diverse health management data available from military and commercial aerospace vehicles [11][12][13]. This is being accomplished by providing common methods for data storage and retrieval of various types of onboard-and offboard-generated data from multiple aircraft types [14]. Such data includes discrete and continuous system data, fault codes, maintenance actions, pilot reports, and test stand output.…”

Section: Introductionmentioning

confidence: 99%

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Multi Source Data Integration for Aircraft Health Management

Ortiz

Clark

Babbar

et al. 2008

2008 IEEE Aerospace Conference

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Modem aircraft are capable of generating and collecting massive quantities of data from flight recorders, maintenance reports, logistics, and mission-readiness reporting systems. Current aircraft system health management schemes are developed based on data sources consisting of the aircraft's system operational conditions or maintenance and repair actions; however, crucial information regarding flight condition and situational parameters are often disregarded or used in a limited sense for diagnostics due to data accessibility issues or what can be an overwhelming volume of time-series data that is collected from modem onboard aircraft data recorders. With improved access to multiple sources of aircraft data, diagnostics and prognostics capabilities may be improved allowing flight crews, engineering, maintenance, and logistics users of an interoperable data system to make more informed decisions. Improved knowledge of the actual aircraft condition, usage and component life monitoring can significantly reduce aircraft Operations and Support (O&S) costs. In addition, integrating multiple sources of aircraft data can reduce Total Ownership Cost (TOC), enhance mission safety and improve aircraft performance. There is a need to develop a multi-source data integration architecture for analyzing vast quantities of disparate data obtained from both onboard and off-board data sources. The multi-source data integration will be able to accurately combine disparate data and establish interconnectivity between distinct data sources to significantly improve data interoperability across multiple data sources. This type of information fusion can serve as the basis for developing advanced diagnostic and prognostic algorithms for legacy, current, and nextgeneration commercial and military aircraft.1 23 1 1 1-4244-1488-

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%