Transducer Fault Detection of Hot Rolling Screwdown System Based on Sequential Probability Ratio Method

Abstract:

To solve the fault detection problems of position transducers operating continuously under complex conditions of hot rolling line, and improve the reliability of the control system, a fault detection method based on Kalman filter and sequential probability ratio was presented. Through building the control model of the system, processing the output data of transducers with Kalman filter, and processing the residuals with sequential probability ratio and improved methods, the judgment criterion of transducer fault detection and the method of data reconstruction were given. The simulation results show that, the method can quickly detect position transducer faults, give the reasonable estimated state value, and improve the reliability of the system.

• Periodical: Advanced Materials Research (Volume 590)
• Pages: 313-319
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.590.313
• Online since: November 2012
• Authors: Bao Kui Li, Xiao Lan Yao, Qing He Wu
• Keywords: Fault Detection, Position Transducer, Sequential Probability Ratio

References

[1] Feng Zuangang, Guo Zhi, Random Control, Publising House of National Defense Industry, Beijing, (1988).

[2] Zhou Donghua, Sun Youxian, Control System Fault Detection and Diagnosis Technology, Tsinghua University Press, Beijing, (1994).

[3] Liu Kunpeng, Zeng Qinghua, An Improved Sequential Probability Ratio Test Method for Residual Test, Electronics Optics & Control. 16(8)(2009)36－39.