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TUTCRIS

Data-Driven Approach for Analysis of Performance Indices in Mobile Work Machines

Tutkimustuotosvertaisarvioitu

Yksityiskohdat

AlkuperäiskieliEnglanti
OtsikkoDATA ANALYTICS 2015, The Fourth International Conference on Data Analytics
ToimittajatThomas Klemas, Steve Chan
Sivut81-86
Sivumäärä7
ISBN (elektroninen)978-1-61208-423-7
TilaJulkaistu - 19 heinäkuuta 2015
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisussa
TapahtumaInternational Conference on Data Analytics -
Kesto: 1 tammikuuta 1900 → …

Conference

ConferenceInternational Conference on Data Analytics
Ajanjakso1/01/00 → …

Tiivistelmä

This paper presents a data-driven approach for the analysis of performance indices in mobile work machines. Performance analysis and optimisation of mobile work machines has become increasingly important in recent years. The mobile work machine optimisation is performed based on performance measurements. One of the most interesting and potential approach for improving the quality of the performance analysis is the utilisation of Big Data and data-driven analysis methods, such as machine learning. This study utilises a machine learning algorithm, Classification and Regression Trees (CART), in the performance analysis of the mobile work machines. The most significant benefit of the presented method is that it provides a statistical reference of the machine performance for the operators. The method enables operators to compare performance against reference fleet of machines working in similar operating conditions. This feature can lead to more informative and reliable interpretations and analysis of the performance values. The results of this paper demonstrate how the presented method was used to analyse the performance of a mobile work machine fleet.

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