Sensors 2012, 12(7), 9551-9565; doi:10.3390/s120709551
Article

Carriage Error Identification Based on Cross-Correlation Analysis and Wavelet Transformation

Donghui Mu 1 email, Dongju Chen 1,* email, Jinwei Fan 1 email, Xiaofeng Wang 1 email and Feihu Zhang 2 email
1 College of Mechanical Engineering & Applied Electronics Technology, Beijing University of Technology, Chao Yang District, Beijing 100124, China 2 Department of Mechanical Engineering, Harbin Institute of Technology, Harbin 15001, China
* Author to whom correspondence should be addressed.
Received: 24 May 2012; in revised form: 28 June 2012 / Accepted: 3 July 2012 / Published: 12 July 2012
(This article belongs to the Section Physical Sensors)
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Abstract: This paper proposes a novel method for identifying carriage errors. A general mathematical model of a guideway system is developed, based on the multi-body system method. Based on the proposed model, most error sources in the guideway system can be measured. The flatness of a workpiece measured by the PGI1240 profilometer is represented by a wavelet. Cross-correlation analysis performed to identify the error source of the carriage. The error model is developed based on experimental results on the low frequency components of the signals. With the use of wavelets, the identification precision of test signals is very high.
Keywords: carriage error; multi-body system; error identification; cross-correlation analysis; wavelet transform

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Cite This Article

MDPI and ACS Style

Mu, D.; Chen, D.; Fan, J.; Wang, X.; Zhang, F. Carriage Error Identification Based on Cross-Correlation Analysis and Wavelet Transformation. Sensors 2012, 12, 9551-9565.

AMA Style

Mu D, Chen D, Fan J, Wang X, Zhang F. Carriage Error Identification Based on Cross-Correlation Analysis and Wavelet Transformation. Sensors. 2012; 12(7):9551-9565.

Chicago/Turabian Style

Mu, Donghui; Chen, Dongju; Fan, Jinwei; Wang, Xiaofeng; Zhang, Feihu. 2012. "Carriage Error Identification Based on Cross-Correlation Analysis and Wavelet Transformation." Sensors 12, no. 7: 9551-9565.

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