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

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Details

Original languageEnglish
Title of host publicationDATA ANALYTICS 2015, The Fourth International Conference on Data Analytics
EditorsThomas Klemas, Steve Chan
Pages81-86
Number of pages7
ISBN (Electronic)978-1-61208-423-7
Publication statusPublished - 19 Jul 2015
Publication typeA4 Article in a conference publication
EventInternational Conference on Data Analytics -
Duration: 1 Jan 1900 → …

Conference

ConferenceInternational Conference on Data Analytics
Period1/01/00 → …

Abstract

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.

Publication forum classification

Field of science, Statistics Finland