Parameter Optimization for Automated Signal Analysis for Condition Monitoring of Aircraft Systems
2011 (English)In: Proceedings of the 3rd International Workshop on Aircraft System Technologies, 2011 / [ed] Otto von Estorff and Frank Thielecke, Shaker Verlag, 2011Conference paper (Refereed)
In the PAHMIR (Preventive Aircraft and Health Monitoring) project pattern recognition and signal analysis is used to support and simplify the monitoring of complex aircraft systems. The parameters of the signal analysis need to be chosen specifically for the monitored system to get the best pattern recognition accuracy. An optimization process was developed that uses global heuristic search and optimization to find a good parameter set for the signal analysis. The computed parameters deliver slightly (one to three percent) better results than the ones found by hand. In addition it is shown that not a full set of data samples is needed. Genetic optimization showed the best performance.
Place, publisher, year, edition, pages
Shaker Verlag, 2011.
, Berichte Aus Der Luft- Und Raumfahrttechnik, ISSN 0945-2214
Genetic Algorithm, Optimization, Feature Extration, Signal Analysis, Global Heuristic Search
Engineering and Technology
IdentifiersURN: urn:nbn:se:liu:diva-105839ISBN: 38-3229-904-1ISBN: 978-38-3229-904-0OAI: oai:DiVA.org:liu-105839DiVA: diva2:711179
3rd International Workshop on Aircraft System Technologies (AST 2011), March 31 - April 1, Hamburg, Germany