Transducer fault detection of hot rolling screwdown system based on sequential probability ratio method

Baokui Li*, Xiaolan Yao, Qinghe Wu

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publicationMechatronic Systems and Materials Application
Pages313-319
Number of pages7
DOIs
Publication statusPublished - 2012
Event2012 International Conference on Mechatronic Systems and Materials Application, ICMSMA 2012 - Qingdao, China
Duration: 8 Sept 20129 Sept 2012

Publication series

NameAdvanced Materials Research
Volume590
ISSN (Print)1022-6680

Conference

Conference2012 International Conference on Mechatronic Systems and Materials Application, ICMSMA 2012
Country/TerritoryChina
CityQingdao
Period8/09/129/09/12

Keywords

  • Fault detection
  • Position transducer
  • Sequential probability ratio

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