Unsupervised Pattern Discovery in Automotive Time Series: Pattern-based Construction of Representative Driving Cycles: 159 (AutoUni – Schriftenreihe) - Softcover

Noering, Fabian Kai Dietrich

Softcover

ISBN 10: 3658363355 ISBN 13: 9783658363352

Verlag: Springer Vieweg, 2022

Inhaltsangabe

In the last decade unsupervised pattern discovery in time series, i.e. the problem of finding recurrent similar subsequences in long multivariate time series without the need of querying subsequences, has earned more and more attention in research and industry. Pattern discovery was already successfully applied to various areas like seismology, medicine, robotics or music. Until now an application to automotive time series has not been investigated. This dissertation fills this desideratum by studying the special characteristics of vehicle sensor logs and proposing an appropriate approach for pattern discovery. To prove the benefit of pattern discovery methods in automotive applications, the algorithm is applied to construct representative driving cycles.

 

Über diesen Titel

Über die Autorin bzw. den Autor

Fabian Kai Dietrich Noering is currently working in the technical development of Volkswagen AG as data scientist with a special interest in the analysis of time series regarding e.g. product optimization.

Von der hinteren Coverseite

In the last decade unsupervised pattern discovery in time series, i.e. the problem of finding recurrent similar subsequences in long multivariate time series without the need of querying subsequences, has earned more and more attention in research and industry. Pattern discovery was already successfully applied to various areas like seismology, medicine, robotics or music. Until now an application to automotive time series has not been investigated. This dissertation fills this desideratum by studying the special characteristics of vehicle sensor logs and proposing an appropriate approach for pattern discovery. To prove the benefit of pattern discovery methods in automotive applications, the algorithm is applied to construct representative driving cycles.

About the author  

Fabian Kai Dietrich Noering is currently working in the technical development of Volkswagen AG as data scientist with a special interest in the analysis of time series regarding e.g. product optimization.

Details zur Ausgabe

• Verlag: Springer Vieweg
• Erscheinungsdatum: 2022
• Sprache: Englisch
• ISBN 10: 3658363355
• ISBN 13: 9783658363352
• Einband: Tapa blanda
• Auflage: 1
• Anzahl der Seiten: 172
• Kontakt zum Hersteller: Nicht verfügbar
• Verantwortliche Person: CMN Printpool Inh. Mathis Neumann; https://www.also.com/ec/cms5/en_6000/6000/index.jsp; ; Friedrich-Karl-Str. 9; Hamburg; Deutschland