AN APPROACH FOR FAULT DETECTION IN METALLIC STRUCTURES USING MILLIMETER WAVE IMAGING

被引:3
作者
Bivalkar, Mandar K. [1 ]
Singh, Dharmendra [1 ]
机构
[1] Indian Inst Technol, Dept Elect & Commun Engn, Roorkee, Uttarakhand, India
来源
IGARSS 2020 - 2020 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM | 2020年
关键词
Fault detection; millimeter wave imaging; line enhancement filtering; discrete wavelet transform; CRACK DETECTION; RADAR;
D O I
10.1109/IGARSS39084.2020.9323484
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The detection of faults in any metallic structure in the industries is of great interest. Robust fault detection in different scenarios is necessary to predict the life of the structure. Penetration of the wave is possible through the rusted area at a frequency range 30- 300 GHz i.e. at millimeter wave frequency range. Non- Destructive Testing is very useful in industry since it provides the evaluation of the material without causing damage to the original part. This paper is about the millimeter wave image based fault detection in the metallic structure. Conventional fault detection techniques may give a false alarm for the intensities below the average values. A novel approach based on line enhancement filtering is introduced and developed images are compared with other image based processing techniques. Our proposed method gives satisfactory results for a fault like crack having different dimensions in the metal sheet.
引用
收藏
页码:1209 / 1212
页数:4
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