scholarly journals A Study on Depth Sizing for Surface Cracks in KTX Brake Disc Using Rayleigh Wave

2019 ◽  
Vol 2019 ◽  
pp. 1-15
Author(s):  
Yun-Taek Yeom ◽  
Min-Soo Kim ◽  
Hak-Joon Kim ◽  
Sung-Jin Song ◽  
Ho-Yong Lee ◽  
...  
Keyword(s):  
Rayleigh Wave ◽  
Public Transportation ◽  
High Speed ◽  
Inspection System ◽  
Brake Disc ◽  
High Speed Railway ◽  
Brake Discs ◽  
Safety And Reliability ◽  
Railway System ◽  
Length Width

Korea Train eXpress (KTX), high-speed railway system, provides an important platform for public transportation and connects major metropolitans in Korea. KTX aiming towards next-generation transportation system has plans to increase the operation times. However, with increasing operation times, safety and reliability of the railways especially inspection of brakes systems becomes important. Therefore, in this study, a KTX brake disc inspection system using the Rayleigh wave is developed to characterize the cracks in the discs. The performance of the inspection system is evaluated on the KTX brake discs specimen having fabricated cracks as well as natural cracks. The result shows that the proposed algorithm successfully characterizes the crack types and estimated the length, width, depths and gap between cracks with good accuracy.

Applicability analysis of high-speed railway system under the action of near-fault ground motion

2020 ◽  
Vol 139 ◽  
pp. 106289
Author(s):  
Lizhong Jiang ◽  
Jian Yu ◽  
Wangbao Zhou ◽  
Wangji Yan ◽  
Zhipeng Lai ◽  
...  
Keyword(s):  
Ground Motion ◽  
High Speed ◽  
High Speed Railway ◽  
Near Fault ◽  
Railway System ◽  
Near Fault Ground Motion

scholarly journals A discussion on technologies for improving the operational speed of high-speed railway networks

2019 ◽  
Vol 1 (1) ◽  
pp. 22-36 ◽  
Author(s):  
Chun-fang Lu
Keyword(s):  
High Speed ◽  
Rapid Development ◽  
Practical Significance ◽  
Railway Network ◽  
High Speed Railway ◽  
Development Status ◽  
Improvement Plan ◽  
Railway System ◽  
Traction Power Supply ◽  
Traction Power

Abstract: China’s high-speed railway network has already achieved speeds of 350 km/h; however, this could be further increased to 400 km/h. After considering the development status and technical level of the high-speed railway system in China, this study indicates that there are four key technologies involved in improving its operational speed: the track, the electrical moving unit, the control system and the traction power supply. Through an experimental analysis, an evaluation index for the high-speed railway is then constructed based on four aspects: safety, comfort, intelligence and environmental protection. Using this system, the rationality of the high-speed railway speed-improvement plan can be scientifically evaluated. The results are of practical significance to the Chinese railway administration, as they can be used to formulate specific plans to increase rail speeds, and therefore promote the rapid development of the high-speed railway network in China.

Automatic Ultrasonic Inspection Method of Railway Axle and its Remaining Life Prediction

2011 ◽  
Vol 213 ◽  
pp. 291-296 ◽  
Author(s):  
Hong Wei Hu ◽  
Xiong Bing Li ◽  
Xiang Hong Wang ◽  
Yi Min Shao
Keyword(s):  
High Speed ◽  
Fatigue Cracks ◽  
Ultrasonic Inspection ◽  
Inspection System ◽  
Remaining Life ◽  
High Speed Railway ◽  
Inspection Method ◽  
Spiral Trajectory ◽  
Image Element ◽  
The Matrix

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.

scholarly journals Computer vision–based automatic rod-insulator defect detection in high-speed railway catenary system

2018 ◽  
Vol 15 (3) ◽  
pp. 172988141877394 ◽  
Author(s):  
Ye Han ◽  
Zhigang Liu ◽  
DJ Lee ◽  
Wenqiang Liu ◽  
Junwen Chen ◽  
...  
Keyword(s):  
Computer Vision ◽  
Defect Detection ◽  
High Speed ◽  
Power Transmission ◽  
Estimation Algorithm ◽  
Inspection System ◽  
High Speed Railway ◽  
Inspection Method ◽  
Railway Systems ◽  
Catenary System

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.

A Simplified Power Conditioner Based on Half-Bridge Converter for High-Speed Railway System

2013 ◽  
Vol 60 (2) ◽  
pp. 728-738 ◽  
Author(s):  
Fujun Ma ◽  
An Luo ◽  
Xianyong Xu ◽  
Huagen Xiao ◽  
Chuanping Wu ◽  
...  
Keyword(s):  
High Speed ◽  
High Speed Railway ◽  
Power Conditioner ◽  
Railway System
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