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

Teemu Väyrynen, Suvi Peltokangas, Eero Anttila, Matti Vilkko

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

    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.
    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 conference proceedings
    EventInternational Conference on Data Analytics -
    Duration: 1 Jan 1900 → …

    Conference

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

    Publication forum classification

    • Publication forum level 0

    Fingerprint

    Dive into the research topics of 'Data-Driven Approach for Analysis of Performance Indices in Mobile Work Machines'. Together they form a unique fingerprint.

    Cite this