Spatial Spectroscopy Approach for Detection of Internal Defect of Component without Zero-Position Sensors
Conventional approach to detect the internal defect of a component needs sensors to mark the “zero” positions, which is time-consuming and lowers down the detecting efficiency. In this study, we proposed a novelty approach that uses spatial spectroscopy to detect internal defect of objects without z...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2016-01-01
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| Series: | Journal of Spectroscopy |
| Online Access: | http://dx.doi.org/10.1155/2016/5958236 |
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| _version_ | 1832562146556248064 |
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| author | Qizhou Wu Yong Jin Zhaoba Wang Zhaoqian Xiao |
| author_facet | Qizhou Wu Yong Jin Zhaoba Wang Zhaoqian Xiao |
| author_sort | Qizhou Wu |
| collection | DOAJ |
| description | Conventional approach to detect the internal defect of a component needs sensors to mark the “zero” positions, which is time-consuming and lowers down the detecting efficiency. In this study, we proposed a novelty approach that uses spatial spectroscopy to detect internal defect of objects without zero-position sensors. Specifically, the spatial variation wave of distance between the detecting source and object surface is analyzed, from which a periodical cycle is determined with the correlative approaches. Additionally, a wavelet method is adopted to reduce the noise of the periodic distance signal. This approach is validated by the ultrasound detection of a component with round cross section and elliptical shape in axis. The experimental results demonstrate that this approach greatly saves the time spent on the judgment of a complete cycle and improves the detecting efficiency of internal defect in the component. The approach can be expanded to other physical methods for noninvasive detection of internal defect, such as optical spectroscopy or X-ray scanning, and it can be used for hybrid medium, such as biological tissues. |
| format | Article |
| id | doaj-art-0f0ad7eb0df54bb583ed81ee5b14a877 |
| institution | Kabale University |
| issn | 2314-4920 2314-4939 |
| language | English |
| publishDate | 2016-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Spectroscopy |
| spelling | doaj-art-0f0ad7eb0df54bb583ed81ee5b14a8772025-02-03T01:23:19ZengWileyJournal of Spectroscopy2314-49202314-49392016-01-01201610.1155/2016/59582365958236Spatial Spectroscopy Approach for Detection of Internal Defect of Component without Zero-Position SensorsQizhou Wu0Yong Jin1Zhaoba Wang2Zhaoqian Xiao3National Key Lab for Electronic Measurement Technology, North University of China, Taiyuan, Shanxi 030051, ChinaNational Key Lab for Electronic Measurement Technology, North University of China, Taiyuan, Shanxi 030051, ChinaNational Key Lab for Electronic Measurement Technology, North University of China, Taiyuan, Shanxi 030051, ChinaNational Key Lab for Electronic Measurement Technology, North University of China, Taiyuan, Shanxi 030051, ChinaConventional approach to detect the internal defect of a component needs sensors to mark the “zero” positions, which is time-consuming and lowers down the detecting efficiency. In this study, we proposed a novelty approach that uses spatial spectroscopy to detect internal defect of objects without zero-position sensors. Specifically, the spatial variation wave of distance between the detecting source and object surface is analyzed, from which a periodical cycle is determined with the correlative approaches. Additionally, a wavelet method is adopted to reduce the noise of the periodic distance signal. This approach is validated by the ultrasound detection of a component with round cross section and elliptical shape in axis. The experimental results demonstrate that this approach greatly saves the time spent on the judgment of a complete cycle and improves the detecting efficiency of internal defect in the component. The approach can be expanded to other physical methods for noninvasive detection of internal defect, such as optical spectroscopy or X-ray scanning, and it can be used for hybrid medium, such as biological tissues.http://dx.doi.org/10.1155/2016/5958236 |
| spellingShingle | Qizhou Wu Yong Jin Zhaoba Wang Zhaoqian Xiao Spatial Spectroscopy Approach for Detection of Internal Defect of Component without Zero-Position Sensors Journal of Spectroscopy |
| title | Spatial Spectroscopy Approach for Detection of Internal Defect of Component without Zero-Position Sensors |
| title_full | Spatial Spectroscopy Approach for Detection of Internal Defect of Component without Zero-Position Sensors |
| title_fullStr | Spatial Spectroscopy Approach for Detection of Internal Defect of Component without Zero-Position Sensors |
| title_full_unstemmed | Spatial Spectroscopy Approach for Detection of Internal Defect of Component without Zero-Position Sensors |
| title_short | Spatial Spectroscopy Approach for Detection of Internal Defect of Component without Zero-Position Sensors |
| title_sort | spatial spectroscopy approach for detection of internal defect of component without zero position sensors |
| url | http://dx.doi.org/10.1155/2016/5958236 |
| work_keys_str_mv | AT qizhouwu spatialspectroscopyapproachfordetectionofinternaldefectofcomponentwithoutzeropositionsensors AT yongjin spatialspectroscopyapproachfordetectionofinternaldefectofcomponentwithoutzeropositionsensors AT zhaobawang spatialspectroscopyapproachfordetectionofinternaldefectofcomponentwithoutzeropositionsensors AT zhaoqianxiao spatialspectroscopyapproachfordetectionofinternaldefectofcomponentwithoutzeropositionsensors |