NDLI: Sequential probability ratio test based fault detection method for actuators in GNC system

Content Provider	IEEE Xplore Digital Library
Author	Dan Li Miao Zhang Zhenzhou Lai Yi Shen
Copyright Year	2013
Description	Author affiliation: Dept. of Control Sci. & Eng., Harbin Inst. of Technol., Harbin, China (Dan Li; Miao Zhang; Zhenzhou Lai; Yi Shen)
Abstract	This paper proposes a fault diagnosis method of satellite actuator based on parameters sequential probability ratio test. Sequential probability ratio test is a hypothesis test based on statistical learning, whose greatest advantages is that it does not need to prescribed the number of observed sample group, but compare each hypothesis test data to the set threshold value. Firstly, give the hypothesis testing and drawn threshold based on the given false alarm rate and missed alarm rate. Secondly, extract the characteristic parameters of the signal to be inspected, Finally, calculate the likelihood values and compare to threshold value, so that we can judge whether there is a fault signal. This article made verification experiment based on actuator fault detection of Autonomous GNC system of deep space probes, as can be seen from the simulation results, sequential probability ratio detection method can made a real-time detection of the fault signal. Compared with the fault diagnosis method based on state observer, this method reduces the average inspection time of the fault greatly.
Starting Page	6324
Ending Page	6327
File Size	144993
Page Count	4
File Format	PDF
ISBN	9789881563835
ISSN	19341768
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-07-26
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	TCCT, CAA
Subject Keyword	Fault diagnosis Actuators sequential probability ratio test actuator Fault detection Simulation fault detection Probability Observers GNC system Testing
Content Type	Text
Resource Type	Article

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