Spatial Spectroscopy Approach for Detection of Internal Defect of Component without Zero-Position Sensors
Joint Authors
Wu, Qizhou
Jin, Yong
Wang, Zhaoba
Xiao, Zhaoqian
Source
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-5, 5 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-03-24
Country of Publication
Egypt
No. of Pages
5
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Wu, Qizhou& Jin, Yong& Wang, Zhaoba& Xiao, Zhaoqian. 2016. Spatial Spectroscopy Approach for Detection of Internal Defect of Component without Zero-Position Sensors. Journal of Spectroscopy،Vol. 2016, no. 2016, pp.1-5.
https://search.emarefa.net/detail/BIM-1110791
Modern Language Association (MLA)
Wu, Qizhou…[et al.]. Spatial Spectroscopy Approach for Detection of Internal Defect of Component without Zero-Position Sensors. Journal of Spectroscopy No. 2016 (2016), pp.1-5.
https://search.emarefa.net/detail/BIM-1110791
American Medical Association (AMA)
Wu, Qizhou& Jin, Yong& Wang, Zhaoba& Xiao, Zhaoqian. Spatial Spectroscopy Approach for Detection of Internal Defect of Component without Zero-Position Sensors. Journal of Spectroscopy. 2016. Vol. 2016, no. 2016, pp.1-5.
https://search.emarefa.net/detail/BIM-1110791
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1110791