Click to open the HelpDesk interface
AECE - Front page banner

Menu:


FACTS & FIGURES

JCR Impact Factor: 0.459
JCR 5-Year IF: 0.442
Issues per year: 4
Current issue: Nov 2016
Next issue: Feb 2017
Avg review time: 78 days


PUBLISHER

Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229
ROMANIA

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


TRAFFIC STATS

1,529,946 unique visits
477,937 downloads
Since November 1, 2009



Robots online now
Googlebot


SJR SCImago RANK

SCImago Journal & Country Rank


SEARCH ENGINES

aece.ro - Google Pagerank




TEXT LINKS

Anycast DNS Hosting
MOST RECENT ISSUES

 Volume 16 (2016)
 
     »   Issue 4 / 2016
 
     »   Issue 3 / 2016
 
     »   Issue 2 / 2016
 
     »   Issue 1 / 2016
 
 
 Volume 15 (2015)
 
     »   Issue 4 / 2015
 
     »   Issue 3 / 2015
 
     »   Issue 2 / 2015
 
     »   Issue 1 / 2015
 
 
 Volume 14 (2014)
 
     »   Issue 4 / 2014
 
     »   Issue 3 / 2014
 
     »   Issue 2 / 2014
 
     »   Issue 1 / 2014
 
 
 Volume 13 (2013)
 
     »   Issue 4 / 2013
 
     »   Issue 3 / 2013
 
     »   Issue 2 / 2013
 
     »   Issue 1 / 2013
 
 
  View all issues  


FEATURED ARTICLE

ABC Algorithm based Fuzzy Modeling of Optical Glucose Detection, SARACOGLU, O. G., BAGIS, A., KONAR, M., TABARU, T. E.
Issue 3/2016

AbstractPlus






LATEST NEWS

2017-Feb-16
With new technologies, such as mobile communications, internet of things, and wide applications of social media, organizations generate a huge volume of data, much faster than several years ago. Big data, characterized by high volume, diversity and velocity, increasingly drives decision making and is changing the landscape of business intelligence, from governments to private organizations, from communities to individuals. Big data analytics that discover insights from evidences has a high demand for computing efficiency, knowledge discovery, problem solving, and event prediction. We dedicate a special section of Issue 4/2017 to Big Data. Prospective authors are asked to make the submissions for this section no later than the 31st of May 2017, placing "Big Data - " before the paper title in OpenConf.

2017-Jan-30
We have the confirmation Advances in Electrical and Computer Engineering will be included in the Gale database.

2016-Dec-17
IoT is a new emerging technology domain which will be used to connect all objects through the Internet for remote sensing and control. IoT uses a combination of WSN (Wireless Sensor Network), M2M (Machine to Machine), robotics, wireless networking, Internet technologies, and Smart Devices. We dedicate a special section of Issue 2/2017 to IoT. Prospective authors are asked to make the submissions for this section no later than the 31st of March 2017, placing "IoT - " before the paper title in OpenConf.

2016-Jun-14
Thomson Reuters published the Journal Citations Report for 2015. The JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.459, and the JCR 5-Year Impact Factor is 0.442.

2015-Dec-04
Starting with Issue 2/2016, the article processing charge is 300 EUR for each article accepted for publication. The charge of 25 EUR per page for papers over 8 pages will not be changed. Details are available in the For authors section.

Read More »


    
 

  3/2014 - 10

A New Contactless Fault Diagnosis Approach for Pantograph-Catenary System Using Pattern Recognition and Image Processing Methods

AYDIN, I. See more information about AYDIN, I. on SCOPUS See more information about AYDIN, I. on IEEExplore See more information about AYDIN, I. on Web of Science, KARAKOSE, M. See more information about  KARAKOSE, M. on SCOPUS See more information about  KARAKOSE, M. on SCOPUS See more information about KARAKOSE, M. on Web of Science, AKIN, E. See more information about AKIN, E. on SCOPUS See more information about AKIN, E. on SCOPUS See more information about AKIN, E. on Web of Science
 
Click to see author's profile on See more information about the author on SCOPUS SCOPUS, See more information about the author on IEEE Xplore IEEE Xplore, See more information about the author on Web of Science Web of Science

Download PDF pdficon (1,171 KB) | Citation | Downloads: 413 | Views: 2,381

Author keywords
pantograph, catenary, arcing faults, edge detection, Hough transform, fault diagnosis, railways

References keywords
pantograph(15), catenary(8), monitoring(7), detection(7), systems(6), power(5), image(5), contact(5), system(4), railways(4)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2014-08-31
Volume 14, Issue 3, Year 2014, On page(s): 79 - 88
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2014.03010
Web of Science Accession Number: 000340869800010
SCOPUS ID: 84907314934

Abstract
Quick view
Full text preview
Comfort and safety of railway transport has become more important as train speeds continue to increase. In electrified railways, the electrical current of the train is produced by the sliding contact between the pantograph and catenary. The quality of the current depends on the reliability of contact between the pantograph and catenary. So, pantograph inspection is very important task in electrified railways and it is periodically made for preventing dangerous situations. This inspection is operated manually by taking the pantograph to the service for visual anomalies. However, this monitoring is impractical because of time consuming and slowness, as locomotive remains disabled. An innovative method based on image processing and pattern recognition is proposed in this paper for online monitoring of the catenary-pantograph interaction. The images are acquired from a digital line-scan camera. Data are simultaneously processed according to edge detection and Hough transform, and then the obtained features are provided to a D-Markov based state machine, and the pantograph related faults, such as overheating of the pantograph strip, bursts of arcing, and irregular positioning of the contact line are diagnosed. The proposed method is verified by real faulty and healthy pantograph videos.


References | Cited By  «-- Click to see who has cited this paper

[1] L. G. C. Hamey, T. Watkins, S. W. T. Yen, "Pancam: In-service Inspection of Locomotive Pantographs," In: IEEE Conference on Digital Image Computing Techniques and Applications, Los Alamitos, 2007, pp. 493-499.
[CrossRef] [SCOPUS Times Cited 8]


[2] C. ODonnell, R. Palacin, J. Rosinski, "Pantograph Damage and Wear Monitoring System,", In: IEEE Conference on Railway Condition Monitoring, London, England, 2006, pp. 178-181.

[3] S. Midya, D. Bormann, T. Schütte, R. Thottappillil, "Pantograph Arcing in Electric Railways—Mechanism and Influence of Various Parameters—Part II: With AC Traction Power Supply," IEEE Trans. on Power Delivery, 2009, pp. 1940-1950.
[CrossRef] [Web of Science Times Cited 25] [SCOPUS Times Cited 49]


[4] W. Zhang, N. Zhou, R. Li, G. Mei, D. Song, "Pantograph and Catenary System with Double Pantographs for High-Speed Trains at 350 Km/H or Higher," Journal of Modern Transportation, vol. 19, pp. 7-11, Mar. 2011.
[CrossRef]


[5] P. M. Keen, "Monitoring Overhead Line Equipment," In: IEE Current Collections for High Speed Trains Seminar, London, England, 1998, pp. 3/1-3/3.
[CrossRef]


[6] S. Barmada, M. Tucci, "Use of Advanced Signal processing Techniques for Arcing Detection on AC Pantograph Catenary Systems," In: Proc. of Pantograph Catenary Interaction Framework for Intelligent Control, Amiens, France, 2011, pp. 1-7.

[7] A. Pisano, E. Usai, "Contact Force Regulation in Wire-Actuated Pantographs via Variable Structure Control," In: 46th IEEE Conference on Decision and Control, LA, USA, 2007, pp.1986-1992.
[CrossRef] [SCOPUS Times Cited 7]


[8] S. Barmada, M. Raugi, M. Tucci, F. Romano, Arc detection in pantograph-catenary systems by the use of support vector machines-based classification", IET Electr. Syst. Transp.,
[CrossRef] [SCOPUS Times Cited 9]


[9] P. Boffi, G. Cattaneo, L. Amoriello, A. Barberis, G. Bucca, M. F. Bocciolone, A. Collina, and M. Martinelli, "Optical Fiber Sensors to Measure Collector Performance in the Pantograph-Catenary Interaction," IEEE Trans. on Sensors, 2009, pp. 635-640.
[CrossRef] [Web of Science Times Cited 12] [SCOPUS Times Cited 23]


[10] R. Uwe, R. Schneider, "Automated optical inspection of overhead contact line systems," Siemens Efficient Railway Solutions, 2010.

[11] O. Bruno, A. Landi, M. Papi, L .Sani, "Phototube sensor for monitoring the quality of current collection on overhead electric railways," Proc. Instn Mech. Engrs, Part F: J. Rail and Rapid Transit, vol. 215, pp. 231-241, 2001.
[CrossRef] [Web of Science Times Cited 10] [SCOPUS Times Cited 23]


[12] A. A. Boguslavskii, S. M. Sokolov, "Detecting Objects in Images in Real-Time Computer Vision Systems Using Structured Geometric Models," Journal of Programming and Software, vol. 32, pp. 177-187, May-June 2006.
[CrossRef] [Web of Science Times Cited 8] [SCOPUS Times Cited 10]


[13] S. Midya, D. Bormann, T. Schütte, and R. Thottappillil, "Pantograph Arcing in Electri?ed Railways—Mechanism and In?uence of Various Parameters—Part I: With DC Traction Power Supply," IEEE Trans. On Power Delivery, 2009, pp. 1931-1939.
[CrossRef] [Web of Science Times Cited 25] [SCOPUS Times Cited 49]


[14] A. Landi, L. Menconi, L. Sani, "Hough Transform and Thermo-Vision for Monitoring Pantograph-Catenary System," Proceedings of the Institution of Mechanical Engineers Part F: Journal of Rail and Rapid Transit, vol. 220, pp. 435-447, July 2006.
[CrossRef] [Web of Science Times Cited 14] [SCOPUS Times Cited 27]


[15] S. Ostlund, A. Gustafsson, L. Buhrkall, M. Skoglund, "Condition Monitoring of Pantograph Contact Strip," In: 4th IET IEEE International Conference on Railway Condition Monitoring, Derby, England, 2008, pp. 1-6.

[16] M. Li, W. Z. Yong, G. X. Rong, W. Li, Y. Kai, "Edge Detection on Pantograph Slide Image," In: 2nd IEEE International Congress on Image and Signal Processing, Tianjin, China, 2009, pp. 1-3.
[CrossRef] [SCOPUS Record]


[17] Z. X. Heng, G. X. Rong, W. Z. Yong,W. Li, Y. Kai, "Study on the Edge Detection and Extraction Algorithm in the Pantograph Slipper's Abrasion," In: IEEE International Conference on Computational and Information Sciences, Chengdu, China, 2010, pp. 474-477.
[CrossRef] [SCOPUS Record]


[18] T. Koyama, "A Method to Measure the Contact Force of Pantographs through Image Processing," Railway Technology Avalanche, vol. 37, pp. 219, 2011.

[19] P. V. Verschraegen, "A Model of the Pantograph Arc Impedance for 50 Hz Catenary Voltage," Master of Science Thesis, Stockholm, Sweden, 2010.

[20] I. Aydin, M. Karakose, and E. Akin, "A New Contactless Fault Diagnosis Approach for Pantograph-Catenary System," In: 15th IEEE International Conference On Mechatronika, Prague, Czech Republic, 2012, pp. 1-6.

[21] S. Midya, "Conducted and Radiated Electromagnetic Interference in Modern Electric Railways with Emphasis on Pantograph Arcing," PhD Thesis, Kungliga Tekniska Höghskolan, Stockholm, Sweeden, 2009.

[22] R. C. Gonzalez, R. E. Woods, "Digital Image Processing," Prentice Hall; 3 edition, pp. 976, 2007.

[23] J. Canny, "A Computational Approach to Edge Detection," IEEE Trans. Pattern Analysis and Machine Intelligence, 1986, pp. 679-698.
[CrossRef] [SCOPUS Times Cited 13006]


[24] S. Oprisescu, E. Barth, "3D Hand Gesture Recognition using the Hough Transform", Advances in Electrical and Computer Engineering vol. 13, pp. 71-76,
[CrossRef] [Full Text] [Web of Science Record] [SCOPUS Times Cited 1]


[25] X. Ning, Y. Wang, "Object extraction from architecture scenes through 3d local scanned data analysis", Advances in Electrical and Computer Engineering, vol. 12, pp. 73-78,
[CrossRef] [Full Text] [Web of Science Times Cited 2] [SCOPUS Times Cited 3]


[26] V. Rajagopalan, A. Ray, R. Samsi, J. Mayer, "Pattern Identification in Dynamical Systems via Symbolic Time Series Analysis," Pattern Recognition, vol. 40, pp. 2897-2907, Nov. 2007.
[CrossRef] [Web of Science Times Cited 14] [SCOPUS Times Cited 19]


[27] R. Samsi, A. Ray, J. Mayer, "Early Detection of Stator Voltage Imbalance in three-phase Induction Motors," Electric Power Systems Research, 2005, pp. 478-483.
[CrossRef] [Web of Science Times Cited 4]


[28] I. Aydin, M. Karakose, E. Akin, "A new method for early fault detection and diagnosis of broken rotor bars," Energy Conversion and Management, vol. 52, pp. 1790-1799, April 2011.
[CrossRef] [Web of Science Times Cited 30] [SCOPUS Times Cited 33]




References Weight

Web of Science® Citations for all references: 144 TCR
SCOPUS® Citations for all references: 13,267 TCR

Web of Science® Average Citations per reference: 5 ACR
SCOPUS® Average Citations per reference: 457 ACR

TCR = Total Citations for References / ACR = Average Citations per Reference

We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more

Citations for references background updated on 2017-02-24 17:56 in 140 seconds.




Note1: Web of Science® is a registered trademark of Thomson Reuters.
Note2: SCOPUS® is a registered trademark of Elsevier B.V.
Disclaimer: All queries to the respective databases were made by using the DOI record of every reference (where available). Due to technical problems beyond our control, the information is not always accurate. Please use the CrossRef link to visit the respective publisher site.

Copyright ©2001-2017
Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania


All rights reserved: Advances in Electrical and Computer Engineering is a registered trademark of the Stefan cel Mare University of Suceava. No part of this publication may be reproduced, stored in a retrieval system, photocopied, recorded or archived, without the written permission from the Editor. When authors submit their papers for publication, they agree that the copyright for their article be transferred to the Faculty of Electrical Engineering and Computer Science, Stefan cel Mare University of Suceava, Romania, if and only if the articles are accepted for publication. The copyright covers the exclusive rights to reproduce and distribute the article, including reprints and translations.

Permission for other use: The copyright owner's consent does not extend to copying for general distribution, for promotion, for creating new works, or for resale. Specific written permission must be obtained from the Editor for such copying. Direct linking to files hosted on this website is strictly prohibited.

Disclaimer: Whilst every effort is made by the publishers and editorial board to see that no inaccurate or misleading data, opinions or statements appear in this journal, they wish to make it clear that all information and opinions formulated in the articles, as well as linguistic accuracy, are the sole responsibility of the author.




Website loading speed and performance optimization powered by: