Title :
The Study of the Fusion Estimation and the Fault Diagnosis Method Based on Multi-speed Sensor
Author :
Feng, Lv ; Du Hailian ; Zhanfeng, Wang ; Tao, Xin
Author_Institution :
HebeiNormal Univ., Shijiazhuang, China
fDate :
March 31 2009-April 2 2009
Abstract :
The multi-speed sensor fusion estimation and the problem of fault diagnosis was studied in this paper aimed at the multi-sensor dynamic system with random sampling speed, which present the single sampling speed multi-sensor data fusion estimation algorithm, the multi-speed multi-sensor synchronous and asynchronous fusion estimation algorithm, and the fault diagnosis method based on the multi-sensor data fusion parameter estimation. At last, the applied example and computer simulation proved its validity.
Keywords :
fault diagnosis; parameter estimation; sensor fusion; asynchronous fusion estimation algorithm; computer simulation; data fusion parameter estimation; fault diagnosis method; multisensor dynamic system; multispeed multisensor synchronous estimation algorithm; single sampling speed estimation algorithm; Delay estimation; Fault detection; Fault diagnosis; Object detection; Parameter estimation; Sampling methods; Sensor fusion; Sensor systems; Space technology; State estimation; fault diagnosis; fusion estimation; multi-speed sensor;
Conference_Titel :
Computer Science and Information Engineering, 2009 WRI World Congress on
Conference_Location :
Los Angeles, CA
Print_ISBN :
978-0-7695-3507-4
DOI :
10.1109/CSIE.2009.747
