DATA ANALYSIS PROCESS OF WORKING HYDRAULICS OF SMALL MOBILE MACHINE

Authors

  • Tomi Krogerus Tampere University of Technology, Department of Intelligent Hydraulics and Automation, P.O.Box 589 (Korkeakoulunkatu 6), FIN-33101 Tampere, Finland
  • Markus Rokala Tampere University of Technology, Department of Intelligent Hydraulics and Automation, P.O.Box 589 (Korkeakoulunkatu 6), FIN-33101 Tampere, Finland
  • Kari T. Koskinen Tampere University of Technology, Department of Intelligent Hydraulics and Automation, P.O.Box 589 (Korkeakoulunkatu 6), FIN-33101 Tampere, Finland

Keywords:

mobile machine, data analysis, condition monitoring, hydraulics, forklift

Abstract

Changing work sequences and the operational environment makes the condition monitoring of mobile work machines more challenging compared with industrial systems. This sets special demands in regard to the analysis of the data measured from the machine during operation. A forklift, reach stacker, is used here as a research platform to study the operation of the data analysis process of working hydraulics of small mobile machine. The focus in the data analysis process is on feature extraction and classification parts. Discrete wavelet analysis is used to extract features which are then classified using the Self-Organizing Map (SOM). In addition, the sensitivity of data analysis process is studied. A simulation model of the lifting movement of the forklift is made to study the effects of changes in the fault levels of the performance of the data analysis methods.

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Author Biographies

Tomi Krogerus, Tampere University of Technology, Department of Intelligent Hydraulics and Automation, P.O.Box 589 (Korkeakoulunkatu 6), FIN-33101 Tampere, Finland

Tomi Krogerus Born in Finland in 1979. He received his D.Sc. degree from Tampere University of Technology (TUT) in 2011. He is working as a Research Fellow in the Department of Intelligent Hydraulics and Automation (IHA) at TUT. His primary research interests are condition monitoring of hydraulic components and life cycle management of machine systems.

Markus Rokala, Tampere University of Technology, Department of Intelligent Hydraulics and Automation, P.O.Box 589 (Korkeakoulunkatu 6), FIN-33101 Tampere, Finland

Markus Rokala Born in Finland in 1980. He received his MSc. Degree in Automation Engineering from Tampere University of Technology (TUT), Finland in 2005. He is a PhD student and working in IHA, TUT. His research focus is on the modeling of hydraulic and mechanical systems and also improving the properties of water hydraulic axial piston pumps

Kari T. Koskinen, Tampere University of Technology, Department of Intelligent Hydraulics and Automation, P.O.Box 589 (Korkeakoulunkatu 6), FIN-33101 Tampere, Finland

Kari T. Koskinen (Born 30th of June 1962) is Professor of Fluid Power in Tampere University of Technology, Department of Intelligent Hydraulics and Automation, Finland. He graduated as Dr,Tech in 1996. Since 1986 he has been acting in many kinds of R&D positions inside and outside TUT. Since 1998 he has been the leader of the Water Hydraulics Research Group in IHA. In addition since 2002 he has been the leader of the Virtual Technologies and Aircraft Hydraulics research groups in IHA. He has published over 160 technical and scientific papers.

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Published

2012-11-01

How to Cite

Krogerus, T., Rokala, M., & Koskinen, K. T. (2012). DATA ANALYSIS PROCESS OF WORKING HYDRAULICS OF SMALL MOBILE MACHINE. International Journal of Fluid Power, 13(3), 5–14. Retrieved from https://journals.riverpublishers.com/index.php/IJFP/article/view/228

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