This chapter includes an extensive review of related work in literature. As this work can be separated in two parts, i.e. the general method of unsupervised pattern discovery in time series and its application for representative driving cycles, this chapter will address both topics separately, too. Section 2.1 begins with a discussion of the term pattern, its range and diversity. This is necessary in order to align the expectations and the focus of this work. Beside this, the section gives an introduction to the topic of pattern discovery in time series and gives an overview of existing approaches. Additionally, various challenges and requirements are discussed. Section 2.2 gives an introduction into the field of representative driving cycles including common applications, the definition of representativeness and existing approaches for the construction. Finally, Section 2.3 points out the obvious, but yet not discovered, linkage of both topics.
Related Work
AutoUni – Schriftenreihe
Unsupervised Pattern Discovery in Automotive Time Series ; Chapter : 2 ; 5-35
AutoUni – Schriftenreihe ; 159
2022-03-24
31 pages
Article/Chapter (Book)
Electronic Resource
English
Springer Verlag | 2024
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