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International Conference on Information, Electronic and Computer Science (ICIECS 2010 E-BOOK)

Zibo,China,11.26-11.28,2010

ISBN: 978-1-935068-42-6 Scientific Research Publishing, USA

E-Book 2224pp Pub. Date: November 2010

Category: Computer Science & Communications

Price: $360

Title: Research on Little Offset Fault of Sensor Online-Detect for Discrete-data Linear Dynamic System
Source: International Conference on Information, Electronic and Computer Science (ICIECS 2010 E-BOOK) (pp 483-486)
Author(s): Wenzheng Xu, College of computer science and technology, Shandong University of Technology, Zibo, China
Abstract: In this paper, A novel method is proposed to online-detect little offset fault of sensor for the Discrete- data Linear Dynamic System. The method uses Discrete Kalman Filter to acquire the residuals of the sensor and uses Sequentical Probability Ratio Test to online-detect the fault in a way that minimizes the mean of the squared error, which can get the least number of the residuals by dynamical calculation and has some adaptive characteristic. A simulation is given to illustrate the proposed method, and the simulation also shows that the method can also resolve the problems of real time, and promote the detection accuracy which detects a fault using the residuals.
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