Machine Learning Methods Applying for Hydraulic System States Classification

The article describes the analysis of a dataset on the states of the hydraulic system of the aircraft and an attempt to classify error in valve switching modes for further research of the possibility of predicting failure or the need to repair the valves of the system

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Published in2019 Systems of Signals Generating and Processing in the Field of on Board Communications pp. 1 - 4
Main Authors Bykov, A. D., Voronov, V. I., Voronova, L. I.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.03.2019
Subjects
Aircraft
classification
comparison
gradient boosting
hydraulic system
Machine learning
nearest neighbor algorithm
Sensors
support vector machine
Support vector machines
Training
Valves
Online AccessGet full text
DOI10.1109/SOSG.2019.8706722

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Abstract The article describes the analysis of a dataset on the states of the hydraulic system of the aircraft and an attempt to classify error in valve switching modes for further research of the possibility of predicting failure or the need to repair the valves of the system
AbstractList The article describes the analysis of a dataset on the states of the hydraulic system of the aircraft and an attempt to classify error in valve switching modes for further research of the possibility of predicting failure or the need to repair the valves of the system
Author Voronov, V. I.
Voronova, L. I.
Bykov, A. D.
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  fullname: Voronov, V. I.
  organization: Moscow Technical University of Communication and Informatics, Moscow, Russia
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  givenname: L. I.
  surname: Voronova
  fullname: Voronova, L. I.
  organization: Moscow Technical University of Communication and Informatics, Moscow, Russia
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Snippet The article describes the analysis of a dataset on the states of the hydraulic system of the aircraft and an attempt to classify error in valve switching modes...
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SubjectTerms Aircraft
classification
comparison
gradient boosting
hydraulic system
Machine learning
nearest neighbor algorithm
Sensors
support vector machine
Support vector machines
Training
Valves
Title Machine Learning Methods Applying for Hydraulic System States Classification
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