DocumentCode :
2293867
Title :
Hydraulic actuator leakage quantification scheme using extended Kalman filter and sequential test method
Author :
An, L. ; Sepehri, N.
Author_Institution :
Dept. of Mech. & Manuf. Eng., Manitoba Univ., Winnipeg, Man.
fYear :
2006
fDate :
14-16 June 2006
Abstract :
This study is a further research based on previous published papers focusing on hydraulic leakage fault detection and isolation. The authors have verified the effectiveness of a FDI scheme based on extended Kalman filter (EKF) for the change of supply pressure (An and Sepehri, 2003). A completed FDI scheme (An and Sepehri, 2005) was also proposed by the authors focusing on various actuator leakages. However, the quantification of the leakages was not elaborated. In this paper, the quantification of leakage faults in a hydraulically powered actuation system is presented. A quantification scheme based on sequential analysis (SA) is proposed and is shown to be effective to estimate the seriousness of the leakage. A bank of hypothesis tests that based on Wald´s method (Wald, 1947) is composed to report the average value of the residual error. The relation between the residual error and the corresponding leakage is determined and, based on this information, an assessment of the leakage damage can be achieved
Keywords :
Kalman filters; control system analysis; fault diagnosis; flow control; hydraulic actuators; statistical analysis; extended Kalman filter; fault detection; fault isolation; hydraulic actuator leakage quantification; hydraulically powered actuation system; leakage damage; residual error; sequential analysis; Artificial neural networks; Fault detection; Fault diagnosis; Hydraulic actuators; Hydraulic systems; Power supplies; Pulp manufacturing; Sequential analysis; Statistical analysis; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
American Control Conference, 2006
Conference_Location :
Minneapolis, MN
Print_ISBN :
1-4244-0209-3
Electronic_ISBN :
1-4244-0209-3
Type :
conf
DOI :
10.1109/ACC.2006.1657415
Filename :
1657415
Link To Document :
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