DocumentCode :
3292199
Title :
Actuator fault detection and diagnosis based on morphology-wavelet
Author :
Zhang, Yi ; Hou, Guolian ; Wu, Baojiang
Author_Institution :
Coll. of light Ind., Hebei Polytech. Univ., Tangshan, China
fYear :
2009
fDate :
15-18 Dec. 2009
Firstpage :
4902
Lastpage :
4907
Abstract :
The paper described a novel method for detecting and identifying faults that occur in the actuator of control systems with input and output signals related to the component itself. The diagnosis algorithm consists of three steps: firstly, generalized morphological filter with multi-structure elements is designed to filter the random noise and impulse noise in actuator´s input and output signals. And secondly, wavelet transform, which has been proposed for sensor´s fault diagnosis some years ago, is developed for actuator´s fault diagnosis. To effectively extract the abruptly fault characteristic, wavelet transform was used to analyze the filtered signals in this paper. By the Multi Resolution Analyzing (MRA), the faults can be detected accurately. Thirdly, according to calculating the Lipschitz Exponent (LE) at the fault´s point, the fault type can be identified. The several typical faults such as fix, gain, bias have been studied. The effectiveness of the proposed approach is demonstrated by the means of experimental results and simulations.
Keywords :
actuators; control systems; fault diagnosis; mathematical morphology; wavelet transforms; Lipschitz exponent; actuator fault detection; actuator fault diagnosis; control systems; morphology-wavelet; multi resolution analyzing; Actuators; Algorithm design and analysis; Control systems; Fault detection; Fault diagnosis; Filters; Multiresolution analysis; Signal design; Signal processing; Wavelet transforms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control, 2009 held jointly with the 2009 28th Chinese Control Conference. CDC/CCC 2009. Proceedings of the 48th IEEE Conference on
Conference_Location :
Shanghai
ISSN :
0191-2216
Print_ISBN :
978-1-4244-3871-6
Electronic_ISBN :
0191-2216
Type :
conf
DOI :
10.1109/CDC.2009.5399470
Filename :
5399470
Link To Document :
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