New Criteria for Estimating Voltage Unbalance Due to Special Connected Transformers in High Speed Railway Systems

ENERGYO ◽  
2018 ◽  
Author(s):  
Wen-Shyan Chu ◽  
Jyh-Cherng Gu ◽  
Bin-Kwie Chen ◽  
San-Yi Lee
Keyword(s):  
High Speed ◽  
High Speed Railway ◽  
Voltage Unbalance ◽  
Railway Systems ◽  
New Criteria

New Criteria for Estimating Voltage Unbalance Due to Special Connected Transformers in High Speed Railway Systems

2005 ◽  
Vol 4 (1) ◽  
Author(s):  
Wen-Shyan Chu ◽  
Jyh-Cherng Gu ◽  
Bin-Kwie Chen ◽  
San-Yi Lee
Keyword(s):  
Power Supply ◽  
High Speed ◽  
Power Supply System ◽  
Supply System ◽  
Two Dimensional ◽  
High Speed Railway ◽  
New Approach ◽  
Voltage Unbalance ◽  
Railway Systems ◽  
New Criteria

Specially connected transformers can reduce the voltage unbalance in a High Speed Railway (HSR) power supply system. Differently connected transformers reduce unbalance differently. Traditionally, a two-dimensional figure is used to represent the degree of unbalance associated with specially connected transformers. However, such a figure cannot completely express the conditions under which the voltage unbalance factor (VUF) is maximized. This work proposes a new approach to creating figures that represent the VUF of specially connected transformers under different dispatch schedules. Besides helping engineers to estimate voltage unbalance associated with various connected transformers, the analytical results can also provide a valuable reference for train dispatchers of HSR to plan dispatching.

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.

scholarly journals Wheel Flat Detection in High-Speed Railway Systems Using Fiber Bragg Gratings

2013 ◽  
Vol 13 (12) ◽  
pp. 4808-4816 ◽  
Author(s):  
Massimo Leonardo Filograno ◽  
Pedro Corredera ◽  
Miguel Rodriguez-Plaza ◽  
Alvaro Andres-Alguacil ◽  
Miguel Gonzalez-Herraez
Keyword(s):  
High Speed ◽  
Fiber Bragg Gratings ◽  
Bragg Gratings ◽  
High Speed Railway ◽  
Railway Systems ◽  
Wheel Flat

Adaptive Differential Evolution Optimization-Based Noise-Level Measurement for High-Speed Railways

2021 ◽  
pp. 036119812098300
Author(s):  
R. Ganesh Babu ◽  
C. Chellaswamy ◽  
T. S. Geetha
Keyword(s):  
Differential Evolution ◽  
Noise Level ◽  
High Speed ◽  
Noise Pollution ◽  
Noise Levels ◽  
High Speed Railway ◽  
Railway Systems ◽  
Level Measurement ◽  
Adaptive Differential Evolution ◽  
The Impact

This paper deals with the possibilities of estimating noise pollution created by high-speed railway systems in nearby locations. Railway systems have significant effects on the environment. Therefore, a college campus situated near a high-speed railway was selected as the study area. In this paper, an adaptive differential evolution optimization (ADEO) algorithm-based noise-level measurement is proposed. Various measurements such as the noise levels indoors, outdoors, and near the track were carried out in the college area and applied to ADEO for optimization. A study of the impact of railway noise on student learning was made. ADEO was used to predict the maximum noise level and the maximum noise distribution in the college area through the model. An experimental study was performed, and the results were compared with the estimated results. The results indicated the consistency of both the estimated and experimental results and the error as less than 1 dBA; the noise level exceeded 65 dBA in a few classrooms. Therefore, the proposed noise measurement for high-speed railway based on the ADEO technique has been considered as the most effective and superior optimization tool.

The growth of city systems with high-speed railway systems

1997 ◽  
Vol 31 (1) ◽  
pp. 39-56 ◽  
Author(s):  
Kiyoshi Kobayashi ◽  
Makoto Okumura
Keyword(s):  
High Speed ◽  
High Speed Railway ◽  
Railway Systems ◽  
City Systems
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