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Unsupervised Pattern Discovery in Automotive Time Series
- Pattern-based Construction of Representative Driving Cycles
Engelsk Paperback

Unsupervised Pattern Discovery in Automotive Time Series

- Pattern-based Construction of Representative Driving Cycles
Engelsk Paperback

720 kr
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Om denne bog

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.

 

Product detaljer
Sprog:
Engelsk
Sider:
148
ISBN-13:
9783658363352
Indbinding:
Paperback
Udgave:
ISBN-10:
3658363355
Udg. Dato:
24 mar 2022
Længde:
0mm
Bredde:
148mm
Højde:
210mm
Forlag:
Springer Fachmedien Wiesbaden
Oplagsdato:
24 mar 2022
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