High speed non-contact acoustic inspection method using multi tone burst wave

2016 ◽  
Vol 140 (4) ◽  
pp. 3212-3213
Author(s):  
Tsuneyoshi Sugimoto ◽  
Kazuko Sugimoto ◽  
Nobuaki Kosuge ◽  
Chitose Kuroda ◽  
Noriyuki Utagawa
2016 ◽  
Vol 140 (4) ◽  
pp. 3212-3212
Author(s):  
Nobuaki Kosuge ◽  
Tsuneyosi Sugimoto ◽  
Kazuko Sugimoto ◽  
Chitose Kuroda ◽  
Noriyuki Utagawa

2017 ◽  
Vol 56 (7S1) ◽  
pp. 07JC10 ◽  
Author(s):  
Tsuneyoshi Sugimoto ◽  
Kazuko Sugimoto ◽  
Nobuaki Kosuge ◽  
Noriyuki Utagawa ◽  
Kageyoshi Katakura

2017 ◽  
Vol 141 (5) ◽  
pp. 3831-3831 ◽  
Author(s):  
Tsuneyoshi Sugimoto ◽  
Kazuko Sugimoto ◽  
Noriyuki Utagawa ◽  
Kageyoshi Katakura

2011 ◽  
Vol 213 ◽  
pp. 291-296 ◽  
Author(s):  
Hong Wei Hu ◽  
Xiong Bing Li ◽  
Xiang Hong Wang ◽  
Yi Min Shao

With the high speed railway utilization, the probability of defects or fatigue cracks in railway axles is increased. An automatic ultrasonic inspection system for railway axles is presented. This system uses combined probes and inspects the defects with spiral trajectory along the axis of the axle. Through the matrix representation of C-scan image element, a defect edge extraction method is adopted, with which the defect parameters of crack are obtained automatically. Based on these defect parameters, the stress intensity factor is assessed by svm regression and the method to predict remaining life is proposed.


2018 ◽  
Vol 15 (3) ◽  
pp. 172988141877394 ◽  
Author(s):  
Ye Han ◽  
Zhigang Liu ◽  
DJ Lee ◽  
Wenqiang Liu ◽  
Junwen Chen ◽  
...  

Maintenance of catenary system is a crucial task for the safe operation of high-speed railway systems. Catenary system malfunction could interrupt railway service and threaten public safety. This article presents a computer vision algorithm that is developed to automatically detect the defective rod-insulators in a catenary system to ensure reliable power transmission. Two key challenges in building such a robust inspection system are addressed in this work, the detection of the insulators in the catenary image and the detection of possible defects. A two-step insulator detection method is implemented to detect insulators with different inclination angles in the image. The sub-images containing cantilevers and rods are first extracted from the catenary image. Then, the insulators are detected in the sub-image using deformable part models. A local intensity period estimation algorithm is designed specifically for insulator defect detection. Experimental results show that the proposed method is able to automatically and reliably detect insulator defects including the breakage of the ceramic discs and the foreign objects clamped between two ceramic discs. The performance of this visual inspection method meets the strict requirements for catenary system maintenance.


2014 ◽  
Vol 53 (7S) ◽  
pp. 07KC15 ◽  
Author(s):  
Kageyoshi Katakura ◽  
Ryo Akamatsu ◽  
Tsuneyoshi Sugimoto ◽  
Noriyuki Utagawa

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