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Parameter Optimization for Automated Signal Analysis for Condition Monitoring of Aircraft Systems
Aircraft Design and Systems Group, Aero Hamburg University of Applied Sciences, Hamburg, Germany.
Aircraft Design and Systems Group, Aero Hamburg University of Applied Sciences, Hamburg, Germany.
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, Published paper (Refereed)
Abstract [en]

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.
Series
Berichte Aus Der Luft- Und Raumfahrttechnik, ISSN 0945-2214
Keyword [en]
Genetic Algorithm, Optimization, Feature Extration, Signal Analysis, Global Heuristic Search
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:liu:diva-105839ISBN: 38-3229-904-1 (print)ISBN: 978-38-3229-904-0 (print)OAI: oai:DiVA.org:liu-105839DiVA: diva2:711179
Conference
3rd International Workshop on Aircraft System Technologies (AST 2011), March 31 - April 1, Hamburg, Germany
Available from: 2014-04-09 Created: 2014-04-09 Last updated: 2014-04-14Bibliographically approved
In thesis
1. Predictive Health Monitoring for Aircraft Systems using Decision Trees
Open this publication in new window or tab >>Predictive Health Monitoring for Aircraft Systems using Decision Trees
2014 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

Unscheduled aircraft maintenance causes a lot problems and costs for aircraft operators. This is due to the fact that aircraft cause significant costs if flights have to be delayed or canceled and because spares are not always available at any place and sometimes have to be shipped across the world. Reducing the number of unscheduled maintenance is thus a great costs factor for aircraft operators. This thesis describes three methods for aircraft health monitoring and prediction; one method for system monitoring, one method for forecasting of time series and one method that combines the two other methods for one complete monitoring and prediction process. Together the three methods allow the forecasting of possible failures. The two base methods use decision trees for decision making in the processes and genetic optimization to improve the performance of the decision trees and to reduce the need for human interaction. Decision trees have the advantage that the generated code can be fast and easily processed, they can be altered by human experts without much work and they are readable by humans. The human readability and modification of the results is especially important to include special knowledge and to remove errors, which the automated code generation produced.

Place, publisher, year, edition, pages
Linköping: Linköping University Electronic Press, 2014. 79 p.
Series
Linköping Studies in Science and Technology. Thesis, ISSN 0280-7971 ; 1655
Keyword
Condition Monitoring, Condition Prediction, Failure Prediction, Decision Trees, Genetic Algorithm, Fuzzy Decision Tree Evaluation, System Monitoring, Aircraft Health Monitoring
National Category
Engineering and Technology
Identifiers
urn:nbn:se:liu:diva-105843 (URN)LIU-TEK-LIC-2014:88 (Local ID)978-91-7519-346-5 (ISBN)LIU-TEK-LIC-2014:88 (Archive number)LIU-TEK-LIC-2014:88 (OAI)
Presentation
2014-04-11, A38, Hus A, Campus Valla, Linköpings universitet, Linköping, 10:15 (English)
Opponent
Supervisors
Available from: 2014-04-09 Created: 2014-04-09 Last updated: 2015-07-10Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
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  • Other style
More styles
Language
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Output format
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