Parameter Optimization for Automated Signal Analysis for Condition Monitoring of Aircraft Systems

Gerdes, Mike; Scholz, Dieter

Publisher URL:	http://www.fzt.haw-hamburg.de/pers/Scholz/PAHMIR/PAHMIR_PUB_AST_11-03-31.pdf http://www.shaker.de/shop/978-3-8322-9904-0
Title:	Parameter Optimization for Automated Signal Analysis for Condition Monitoring of Aircraft Systems
Language:	English
Authors:	Gerdes, Mike Scholz, Dieter
Editor:	von Estorff, Otto Thielecke, Frank
Keywords:	Aircraft Systems Technologies; Airframe Systems and Equipment; Cabin and Comfort; Information and Communication Management; Materials and Production; TUHH
Issue Date:	2011
Publisher:	Shaker Verlag
Book title:	Proceedings of the 3rd International Workshop on Aircraft System Technologies
Part of Series:	Berichte aus der Luft- und Raumfahrttechnik
Startpage:	329
Endpage:	340
Conference:	International Workshop on Aircraft System Technologies 2011
Abstract:	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.
URI:	http://hdl.handle.net/20.500.12738/2304
ISBN:	978-3-8322-9904-0
Institute:	Department Fahrzeugtechnik und Flugzeugbau Fakultät Technik und Informatik
Type:	Chapter/Article (Proceedings)
Appears in Collections:	Publications without full text