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
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;
Conference_Titel :
Advanced Intelligent Mechatronics (AIM), 2013 IEEE/ASME International Conference on
Conference_Location :
Wollongong, NSW
Print_ISBN :
978-1-4673-5319-9
DOI :
10.1109/AIM.2013.6584117