• DocumentCode
    2948908
  • Title

    Micro-electromechanical system sensors in unscented Kalman filter-based condition monitoring of hydraulic systems

  • Author

    Nurmi, Jari ; Honkakorpi, Janne ; Vihonen, Juho ; Mattila, Jouni

  • Author_Institution
    Dept. of Intell. Hydraulics & Autom., Tampere Univ. of Technol., Tampere, Finland
  • fYear
    2013
  • fDate
    9-12 July 2013
  • Firstpage
    354
  • Lastpage
    361
  • Abstract
    A condition monitoring system of mechatronic design using an easy-to-install micro-electromechanical system-based (MEMS) motion sensor is developed in this paper, since the joint encoders and resolvers that require mechanical joint modifications are not often a realistic option for mobile machines. This paper presents an unscented Kalman filter-based (UKF) condition monitoring scheme for leakage detection in hydraulic actuator systems using the joint sensor feedback. By comparing the UKF residuals of the developed MEMS sensor to the residuals of a highly accurate reference encoder, we show that the developed easy-to-install and low-cost MEMS sensor is suitable for this condition monitoring task.
  • Keywords
    Kalman filters; condition monitoring; hydraulic systems; microsensors; nonlinear filters; MEMS motion sensor; UKF condition monitoring; hydraulic systems; microelectromechanical system sensors; mobile machines; unscented Kalman filter; Accelerometers; Condition monitoring; Joints; Mechanical sensors; Micromechanical devices; Valves;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Intelligent Mechatronics (AIM), 2013 IEEE/ASME International Conference on
  • Conference_Location
    Wollongong, NSW
  • ISSN
    2159-6247
  • Print_ISBN
    978-1-4673-5319-9
  • Type

    conf

  • DOI
    10.1109/AIM.2013.6584117
  • Filename
    6584117