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Carriage Error Identification Based on Cross-Correlation Analysis and Wavelet Transformation
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 t...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Molecular Diversity Preservation International (MDPI)
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3444116/ https://www.ncbi.nlm.nih.gov/pubmed/23012558 http://dx.doi.org/10.3390/s120709551 |
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author | Mu, Donghui Chen, Dongju Fan, Jinwei Wang, Xiaofeng Zhang, Feihu |
author_facet | Mu, Donghui Chen, Dongju Fan, Jinwei Wang, Xiaofeng Zhang, Feihu |
author_sort | Mu, Donghui |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-3444116 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Molecular Diversity Preservation International (MDPI) |
record_format | MEDLINE/PubMed |
spelling | pubmed-34441162012-09-25 Carriage Error Identification Based on Cross-Correlation Analysis and Wavelet Transformation Mu, Donghui Chen, Dongju Fan, Jinwei Wang, Xiaofeng Zhang, Feihu Sensors (Basel) Article 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. Molecular Diversity Preservation International (MDPI) 2012-07-12 /pmc/articles/PMC3444116/ /pubmed/23012558 http://dx.doi.org/10.3390/s120709551 Text en © 2012 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/). |
spellingShingle | Article Mu, Donghui Chen, Dongju Fan, Jinwei Wang, Xiaofeng Zhang, Feihu Carriage Error Identification Based on Cross-Correlation Analysis and Wavelet Transformation |
title | Carriage Error Identification Based on Cross-Correlation Analysis and Wavelet Transformation |
title_full | Carriage Error Identification Based on Cross-Correlation Analysis and Wavelet Transformation |
title_fullStr | Carriage Error Identification Based on Cross-Correlation Analysis and Wavelet Transformation |
title_full_unstemmed | Carriage Error Identification Based on Cross-Correlation Analysis and Wavelet Transformation |
title_short | Carriage Error Identification Based on Cross-Correlation Analysis and Wavelet Transformation |
title_sort | carriage error identification based on cross-correlation analysis and wavelet transformation |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3444116/ https://www.ncbi.nlm.nih.gov/pubmed/23012558 http://dx.doi.org/10.3390/s120709551 |
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