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

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

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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 carriage error; multi-body system; error identification; cross-correlation analysis; wavelet transform
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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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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