Click to open the HelpDesk interface
AECE - Front page banner



JCR Impact Factor: 0.699
JCR 5-Year IF: 0.674
Issues per year: 4
Current issue: Nov 2018
Next issue: Feb 2019
Avg review time: 81 days


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

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


2,140,355 unique visits
Since November 1, 2009

Robots online now


SCImago Journal & Country Rank

SEARCH ENGINES - Google Pagerank


Anycast DNS Hosting

 Volume 18 (2018)
     »   Issue 4 / 2018
     »   Issue 3 / 2018
     »   Issue 2 / 2018
     »   Issue 1 / 2018
 Volume 17 (2017)
     »   Issue 4 / 2017
     »   Issue 3 / 2017
     »   Issue 2 / 2017
     »   Issue 1 / 2017
 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
  View all issues  


Remote Control of an Autonomous Robotic Platform Based on Eye Tracking, PASARICA, A., ANDRUSEAC, G. G., ADOCHIEI, I., ROTARIU, C., COSTIN, H., ADOCHIEI, F.
Issue 4/2016


Wavelet-Based Adaptive Anisotropic Diffusion Filter, TANYERI, U., DEMIRCI, R.
Issue 4/2018


A Current-Forced Line-Commutated Inverter for Single-Phase Grid-Connected Photovoltaic Generation Systems, UNLU, M., CAMUR, S., BESER, E., ARIFOGLU, B.
Issue 2/2015


Speeding Up VM Image Distribution for Cloud Data Centers, LEE, C., LEE, H., KIM, E.
Issue 4/2016


Output Choice of a Chaotic Jerk Circuit Used as Transmitter in Data Secure Communications, DATCU, O., STANCIU, M., TAULEIGNE, R., BURILEANU, C., BARBOT, J.-P.
Issue 4/2015


Underwater Image Enhancement by Adaptive Gray World and Differential Gray-Levels Histogram Equalization, WONG, S.-L., PARAMESRAN, R., TAGUCHI, A.
Issue 2/2018



Clarivate Analytics published the InCites Journal Citations Report for 2017. The JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.699, and the JCR 5-Year Impact Factor is 0.674.

Thomson Reuters published the Journal Citations Report for 2016. The JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.595, and the JCR 5-Year Impact Factor is 0.661.

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 "BigData - " before the paper title in OpenConf.

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 in 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: 605 | Views: 3,635

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

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

Cited-By ISI Web of Science

Web of Science® Times Cited: 7 [View]
View record in Web of Science® [View]
View Related Records® [View]

Updated today

Cited-By CrossRef

SCOPUS® Times Cited: 8
View record in SCOPUS®
[Free preview]

Updated today

Cited-By CrossRef

[1] Fuzzy integral-based multi-sensor fusion for arc detection in the pantograph-catenary system, Aydin, Ilhan, Celebi, Selahattin B, Barmada, Sami, Tucci, Mauro, Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit, ISSN 0954-4097, Issue 1, Volume 232, 2018.
Digital Object Identifier: 10.1177/0954409716662090

[2] Condition monitoring of railway pantographs to achieve fault detection and fault diagnosis, Xin, Tingyu, Roberts, Clive, Weston, Paul, Stewart, Edward, Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit, ISSN 0954-4097, 2018.
Digital Object Identifier: 10.1177/0954409718800567

[3] A new arc detection method based on fuzzy logic using S-transform for pantograph–catenary systems, Karakose, Ebru, Gencoglu, Muhsin Tunay, Karakose, Mehmet, Yaman, Orhan, Aydin, Ilhan, Akin, Erhan, Journal of Intelligent Manufacturing, ISSN 0956-5515, Issue 4, Volume 29, 2018.
Digital Object Identifier: 10.1007/s10845-015-1136-3

[4] Continuous wavelet transform for ferroresonance detection in power systems, Şengüler, Tayfun, Şeker, Serhat, Electrical Engineering, ISSN 0948-7921, Issue 2, Volume 99, 2017.
Digital Object Identifier: 10.1007/s00202-016-0387-0

[5] A new approach based on firefly algorithm for vision-based railway overhead inspection system, Aydin, Ilhan, Measurement, ISSN 0263-2241, Issue , 2015.
Digital Object Identifier: 10.1016/j.measurement.2015.07.022

[6] Dynamic target template matching for railway catenary suspension motion detection in wind area, Zhou, Wei, Xiao, Heting, Wang, Zhonggang, Chen, Lin, Fu, Shaoqing, International Journal of Distributed Sensor Networks, ISSN 1550-1477, Issue 9, Volume 14, 2018.
Digital Object Identifier: 10.1177/1550147718797956

[7] An Enhanced Artificial Bee Colony-Based Support Vector Machine for Image-Based Fault Detection, Chen, Guijun, Zhang, Xueying, Wang, Zizhong John, Li, Fenglian, Mathematical Problems in Engineering, ISSN 1024-123X, Issue , 2015.
Digital Object Identifier: 10.1155/2015/638926

[8] A new object detection and classification method for quality control based on segmentation and geometric features, Aydin, Ilhan, Karakose, Mehmet, Hamsin, G. Ghazi, Sarimaden, Alisan, Akin, Erhan, 2017 International Artificial Intelligence and Data Processing Symposium (IDAP), ISBN 978-1-5386-1880-6, 2017.
Digital Object Identifier: 10.1109/IDAP.2017.8090172

Updated today

Disclaimer: All information displayed above was retrieved by using remote connections to respective databases. For the best user experience, we update all data by using background processes, and use caches in order to reduce the load on the servers we retrieve the information from. As we have no control on the availability of the database servers and sometimes the Internet connectivity may be affected, we do not guarantee the information is correct or complete. For the most accurate data, please always consult the database sites directly. Some external links require authentication or an institutional subscription.

Web of Science® is a registered trademark of Clarivate Analytics, Scopus® is a registered trademark of Elsevier B.V., other product names, company names, brand names, trademarks and logos are the property of their respective owners.

Copyright ©2001-2019
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: