skip to content
Thumbnail image of Health Monitoring for Aircraft Systems using Decision... Preview this item
ClosePreview this item
Checking...

Health Monitoring for Aircraft Systems using Decision Trees and Genetic Evolution

Author: Mike Gerdes; Dieter Scholz
Publisher: Aircraft Design and Systems Group (AERO), Department of Automotive and Aeronautical Engineering, Hamburg University of Applied Sciences, Hamburg, Germany 2019
Series: Digital Library - Projects & Theses - Prof. Dr. Scholz; http://library.ProfScholz.de
Edition/Format:   Downloadable archival material : English
Summary:
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  Read more...
Rating:

(not yet rated) 0 with reviews - Be the first.

Subjects
More like this

Find a copy online

Find a copy in the library

&AllPage.SpinnerRetrieving; Finding libraries that hold this item...

Details

Genre/Form: Dissertation
Text
Material Type: Internet resource
Document Type: Internet Resource, Archival Material
All Authors / Contributors: Mike Gerdes; Dieter Scholz
OCLC Number: 1135906579
Language Note: English
Notes: Copyright by author
CC BY-NC-SA
https://creativecommons.org/licenses/by-nc-sa/4.0
Series Title: Digital Library - Projects & Theses - Prof. Dr. Scholz; http://library.ProfScholz.de
More information:

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 the need for human interaction. Decision trees have several advantages: the generated code is quickly and easily processed, it can be altered by human experts without much work, it is readable by humans, and it requires few resources for learning and evaluation. The readability and the ability to modify the results are especially important; special knowledge can be gained and errors produced by the automated code generation can be removed. A large number of data sets is needed for meaningful predictions. This thesis uses two data sources: first, data from existing aircraft sensors, and second, sound and vibration data from additionally installed sensors. It draws on methods from the field of big data and machine learning to analyse and prepare the data sets for the prediction process.

Reviews

User-contributed reviews
Retrieving GoodReads reviews...
Retrieving DOGObooks reviews...

Tags

All user tags (19)

View most popular tags as: tag list | tag cloud

Confirm this request

You may have already requested this item. Please select Ok if you would like to proceed with this request anyway.

Linked Data


Primary Entity

<http://www.worldcat.org/oclc/1135906579> # Health Monitoring for Aircraft Systems using Decision Trees and Genetic Evolution
    a library:ArchiveMaterial, schema:MediaObject, schema:CreativeWork ;
    library:oclcnum "1135906579" ;
    library:placeOfPublication <http://experiment.worldcat.org/entity/work/data/9927680150#Place/hamburg_germany> ; # Hamburg, Germany
    schema:about <http://experiment.worldcat.org/entity/work/data/9927680150#Thing/remaining_useful_life_prediction> ; # Remaining Useful Life Prediction
    schema:about <http://experiment.worldcat.org/entity/work/data/9927680150#Thing/luftfahrt> ; # Luftfahrt
    schema:about <http://experiment.worldcat.org/entity/work/data/9927680150#Thing/big_data> ; # Big Data
    schema:about <http://experiment.worldcat.org/entity/work/data/9927680150#Thing/condition_monitoring> ; # Condition Monitoring
    schema:about <http://experiment.worldcat.org/entity/work/data/9927680150#Thing/maschinelles_lernen> ; # Maschinelles Lernen
    schema:about <http://experiment.worldcat.org/entity/work/data/9927680150#Thing/luftfahrzeug> ; # Luftfahrzeug
    schema:about <http://experiment.worldcat.org/entity/work/data/9927680150#Thing/instandhaltung> ; # Instandhaltung
    schema:about <http://experiment.worldcat.org/entity/work/data/9927680150#Thing/fuzzy_decision_tree_evaluation> ; # Fuzzy Decision Tree Evaluation
    schema:about <http://experiment.worldcat.org/entity/work/data/9927680150#Thing/system_monitoring> ; # System Monitoring
    schema:about <http://experiment.worldcat.org/entity/work/data/9927680150#Thing/genetic_algorithms> ; # Genetic algorithms
    schema:about <http://experiment.worldcat.org/entity/work/data/9927680150#Thing/flugzeugsysteme> ; # Flugzeugsysteme
    schema:about <http://experiment.worldcat.org/entity/work/data/9927680150#Thing/decision_trees> ; # Decision trees
    schema:about <http://experiment.worldcat.org/entity/work/data/9927680150#Thing/wartung> ; # Wartung
    schema:about <http://experiment.worldcat.org/entity/work/data/9927680150#Thing/airplanes> ; # Airplanes
    schema:about <http://experiment.worldcat.org/entity/work/data/9927680150#Thing/aeronautics> ; # Aeronautics
    schema:about <http://experiment.worldcat.org/entity/work/data/9927680150#Thing/machine_learning> ; # Machine Learning
    schema:about <http://experiment.worldcat.org/entity/work/data/9927680150#Thing/aircraft_health_monitoring> ; # Aircraft Health Monitoring
    schema:about <http://experiment.worldcat.org/entity/work/data/9927680150#Thing/expert_systems> ; # Expert Systems
    schema:about <http://experiment.worldcat.org/entity/work/data/9927680150#Thing/pattern_recognition_systems> ; # Pattern recognition systems
    schema:contributor <http://experiment.worldcat.org/entity/work/data/9927680150#Person/scholz_dieter> ; # Dieter Scholz
    schema:creator <http://experiment.worldcat.org/entity/work/data/9927680150#Person/gerdes_mike> ; # Mike Gerdes
    schema:datePublished "2019" ;
    schema:description "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 the need for human interaction. Decision trees have several advantages: the generated code is quickly and easily processed, it can be altered by human experts without much work, it is readable by humans, and it requires few resources for learning and evaluation. The readability and the ability to modify the results are especially important; special knowledge can be gained and errors produced by the automated code generation can be removed. A large number of data sets is needed for meaningful predictions. This thesis uses two data sources: first, data from existing aircraft sensors, and second, sound and vibration data from additionally installed sensors. It draws on methods from the field of big data and machine learning to analyse and prepare the data sets for the prediction process." ;
    schema:exampleOfWork <http://worldcat.org/entity/work/id/9927680150> ;
    schema:genre "Dissertation" ;
    schema:genre "Text" ;
    schema:inLanguage "en" ;
    schema:isPartOf <http://experiment.worldcat.org/entity/work/data/9927680150#Series/http_library_profscholz_de> ; # http://library.ProfScholz.de
    schema:name "Health Monitoring for Aircraft Systems using Decision Trees and Genetic Evolution" ;
    schema:productID "1135906579" ;
    schema:publication <http://www.worldcat.org/title/-/oclc/1135906579#PublicationEvent/aircraft_design_and_systems_group_aero_department_of_automotive_and_aeronautical_engineering_hamburg_university_of_applied_sciences_2019_hamburg_germany> ;
    schema:publisher <http://experiment.worldcat.org/entity/work/data/9927680150#Agent/aircraft_design_and_systems_group_aero_department_of_automotive_and_aeronautical_engineering_hamburg_university_of_applied_sciences> ; # Aircraft Design and Systems Group (AERO), Department of Automotive and Aeronautical Engineering, Hamburg University of Applied Sciences
    schema:url <http://www.fzt.haw-hamburg.de/pers/Scholz/arbeiten/TextGerdes.pdf> ;
    schema:url <http://d-nb.info/1202830382> ;
    schema:url <http://library.ProfScholz.de> ;
    schema:url <http://www.fzt.haw-hamburg.de/pers/Scholz/arbeiten/TextGerdes.jpg> ;
    schema:url <http://n2t.net/ark:13960/t7mq3cm3r> ;
    schema:url <http://nbn-resolving.org/urn:nbn:de:gbv:18302-aero2019-12-20.012> ;
    schema:url <http://doi.org/10.15488/9213> ;
    wdrs:describedby <http://www.worldcat.org/title/-/oclc/1135906579> ;
    .


Related Entities

<http://experiment.worldcat.org/entity/work/data/9927680150#Agent/aircraft_design_and_systems_group_aero_department_of_automotive_and_aeronautical_engineering_hamburg_university_of_applied_sciences> # Aircraft Design and Systems Group (AERO), Department of Automotive and Aeronautical Engineering, Hamburg University of Applied Sciences
    a bgn:Agent ;
    schema:name "Aircraft Design and Systems Group (AERO), Department of Automotive and Aeronautical Engineering, Hamburg University of Applied Sciences" ;
    .

<http://experiment.worldcat.org/entity/work/data/9927680150#Organization/digital_library_projects_&_theses_prof_dr_scholz> # Digital Library - Projects & Theses - Prof. Dr. Scholz
    a schema:Organization ;
    schema:name "Digital Library - Projects & Theses - Prof. Dr. Scholz" ;
    .

<http://experiment.worldcat.org/entity/work/data/9927680150#Person/gerdes_mike> # Mike Gerdes
    a schema:Person ;
    schema:familyName "Gerdes" ;
    schema:givenName "Mike" ;
    schema:name "Mike Gerdes" ;
    .

<http://experiment.worldcat.org/entity/work/data/9927680150#Person/scholz_dieter> # Dieter Scholz
    a schema:Person ;
    schema:familyName "Scholz" ;
    schema:givenName "Dieter" ;
    schema:name "Dieter Scholz" ;
    .

<http://experiment.worldcat.org/entity/work/data/9927680150#Place/hamburg_germany> # Hamburg, Germany
    a schema:Place ;
    schema:name "Hamburg, Germany" ;
    .

<http://experiment.worldcat.org/entity/work/data/9927680150#Series/http_library_profscholz_de> # http://library.ProfScholz.de
    a bgn:PublicationSeries ;
    schema:creator <http://experiment.worldcat.org/entity/work/data/9927680150#Organization/digital_library_projects_&_theses_prof_dr_scholz> ; # Digital Library - Projects & Theses - Prof. Dr. Scholz
    schema:hasPart <http://www.worldcat.org/oclc/1135906579> ; # Health Monitoring for Aircraft Systems using Decision Trees and Genetic Evolution
    schema:name "http://library.ProfScholz.de" ;
    .

<http://experiment.worldcat.org/entity/work/data/9927680150#Thing/aircraft_health_monitoring> # Aircraft Health Monitoring
    a schema:Thing ;
    schema:name "Aircraft Health Monitoring" ;
    .

<http://experiment.worldcat.org/entity/work/data/9927680150#Thing/condition_monitoring> # Condition Monitoring
    a schema:Thing ;
    schema:name "Condition Monitoring" ;
    .

<http://experiment.worldcat.org/entity/work/data/9927680150#Thing/decision_trees> # Decision trees
    a schema:Thing ;
    schema:name "Decision trees" ;
    .

<http://experiment.worldcat.org/entity/work/data/9927680150#Thing/expert_systems> # Expert Systems
    a schema:Thing ;
    schema:name "Expert Systems" ;
    .

<http://experiment.worldcat.org/entity/work/data/9927680150#Thing/flugzeugsysteme> # Flugzeugsysteme
    a schema:Thing ;
    schema:name "Flugzeugsysteme" ;
    .

<http://experiment.worldcat.org/entity/work/data/9927680150#Thing/fuzzy_decision_tree_evaluation> # Fuzzy Decision Tree Evaluation
    a schema:Thing ;
    schema:name "Fuzzy Decision Tree Evaluation" ;
    .

<http://experiment.worldcat.org/entity/work/data/9927680150#Thing/genetic_algorithms> # Genetic algorithms
    a schema:Thing ;
    schema:name "Genetic algorithms" ;
    .

<http://experiment.worldcat.org/entity/work/data/9927680150#Thing/instandhaltung> # Instandhaltung
    a schema:Thing ;
    schema:name "Instandhaltung" ;
    .

<http://experiment.worldcat.org/entity/work/data/9927680150#Thing/machine_learning> # Machine Learning
    a schema:Thing ;
    schema:name "Machine Learning" ;
    .

<http://experiment.worldcat.org/entity/work/data/9927680150#Thing/maschinelles_lernen> # Maschinelles Lernen
    a schema:Thing ;
    schema:name "Maschinelles Lernen" ;
    .

<http://experiment.worldcat.org/entity/work/data/9927680150#Thing/pattern_recognition_systems> # Pattern recognition systems
    a schema:Thing ;
    schema:name "Pattern recognition systems" ;
    .

<http://experiment.worldcat.org/entity/work/data/9927680150#Thing/remaining_useful_life_prediction> # Remaining Useful Life Prediction
    a schema:Thing ;
    schema:name "Remaining Useful Life Prediction" ;
    .

<http://experiment.worldcat.org/entity/work/data/9927680150#Thing/system_monitoring> # System Monitoring
    a schema:Thing ;
    schema:name "System Monitoring" ;
    .


Content-negotiable representations

Close Window

Please sign in to WorldCat 

Don't have an account? You can easily create a free account.