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: Qizhou Wu, Yong Jin, Zhaoba Wang, Zhaoqian Xiao
Format: Article
Language:English
Published: Hindawi Limited 2016-01-01
Series:Journal of Spectroscopy
Online Access:http://dx.doi.org/10.1155/2016/5958236
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spelling doaj-0f0ad7eb0df54bb583ed81ee5b14a8772020-11-24T23:50:05ZengHindawi LimitedJournal 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
collection DOAJ
language English
format Article
sources DOAJ
author Qizhou Wu
Yong Jin
Zhaoba Wang
Zhaoqian Xiao
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
author_facet Qizhou Wu
Yong Jin
Zhaoba Wang
Zhaoqian Xiao
author_sort Qizhou Wu
title 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_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_sort spatial spectroscopy approach for detection of internal defect of component without zero-position sensors
publisher Hindawi Limited
series Journal of Spectroscopy
issn 2314-4920
2314-4939
publishDate 2016-01-01
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.
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
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