publication . Doctoral thesis . Other literature type . 2019

Health Monitoring for Aircraft Systems using Decision Trees and Genetic Evolution

Gerdes, Mike;
Open Access English
  • Published: 01 Jan 2019
  • Publisher: Luleå, Sweden : Luleå University of Technology, Graphic Production
  • Country: Germany
Abstract
Reducing unscheduled maintenance is important for aircraft operators. There are significant costs if flights must be delayed or cancelled, for example, if spares are not available and have to be shipped across the world. This thesis describes three methods of aircraft health condition monitoring and prediction; one for system monitoring, one for forecasting and one combining the two other methods for a complete monitoring and prediction process. Together, the three methods allow organizations to forecast possible failures. The first two use decision trees for decision-making and genetic optimization to improve the performance of the decision trees and to reduce ...
Subjects
free text keywords: Condition Monitoring, Remaining Useful Life Prediction, Fuzzy Decision Tree Evaluation, System Monitoring, Aircraft Health Monitoring, Feature Extraction, Feature Selection, Data Driven, Health Prognostic, Knowledge Based System, Supervised Learning, Data-Driven Predictive Health Monitoring, Health Indicators, Flugzeugsysteme, Wartung, Luftfahrt, Luftfahrzeug, Instandhaltung, Aeronautics, Airplanes, Decision trees, Genetic algorithms, Expert systems, Machine learning, Big data, Pattern recognition systems, Maschinelles Lernen, ddc:620, ddc:600, ddc:629,1, ddc:629.13
Powered by OpenAIRE Research Graph
Any information missing or wrong?Report an Issue