The International Research Conference Aims and Objectives
The International Research Conference is a federated organization dedicated to bringing together a significant number of diverse scholarly events for presentation
within the conference program. Events will run over a span of time during the conference depending on the number and length of the presentations.
With its high quality, it provides an exceptional value for students, academics and industry researchers.
International Conference on Diagnostics for Electrical Machines
aims to bring together leading academic scientists, researchers and research scholars to exchange and share their experiences and research results on all aspects of
Diagnostics for Electrical Machines.
It also provides a premier interdisciplinary platform for researchers, practitioners and educators to present and discuss the most recent innovations,
trends, and concerns as well as practical challenges encountered and solutions adopted in the fields of Diagnostics for Electrical Machines.
Call for Contributions
Prospective authors are kindly encouraged to contribute to and help shape the conference through submissions of their research abstracts, papers and e-posters.
Also, high quality research contributions describing original and unpublished results of conceptual, constructive, empirical, experimental, or
theoretical work in all areas of Diagnostics for Electrical Machines are cordially invited for presentation at the conference.
The conference solicits contributions of abstracts, papers and e-posters that address themes and topics of the conference, including figures, tables and references of
novel research materials.
Guidelines for Authors
Please ensure your submission meets the conference's strict guidelines for accepting scholarly papers.
Downloadable versions of the check list for
Full-Text Papers and
Abstract Papers.
Please refer to the
Paper Submission Guideline,
Abstract Submission Guideline and
Author Information
before submitting your paper.
Conference Proceedings
All submitted conference papers will be blind peer reviewed by three competent reviewers.
The peer-reviewed conference proceedings are indexed in the Open Science Index,
Google Scholar,
Semantic Scholar,
Zenedo,
BASE,
WorldCAT,
Sherpa/RoMEO,
and other index databases. Impact Factor Indicators.
Special Journal Issues
19. International Conference on Diagnostics for Electrical Machines has teamed up with the Special Journal Issue on
Diagnostics for Electrical Machines.
A number of selected high-impact full text papers will also be considered for the special journal issues.
All submitted papers will have the opportunity to be considered for this Special Journal Issue.
The paper selection will be carried out during the peer review process as well as at the conference presentation stage.
Submitted papers must not be under consideration by any other journal or publication.
The final decision for paper selection will be made based on peer review reports by the Guest Editors and the Editor-in-Chief jointly.
Selected full-text papers will be published online free of charge.
Conference Sponsor and Exhibitor Opportunities
The Conference offers the opportunity to become a conference sponsor or exhibitor.
To participate as a sponsor or exhibitor, please download and complete the
Conference Sponsorship Request Form.
Selected Papers
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Language Learning, Drives, and Context: A Grounded Theory of Learning Behavior
Julian Pigott
-
A Neural Network Approach for an Automatic Detection and Localization of an Open Phase Circuit of a Five-Phase Induction Machine Used in a Drivetrain of an Electric Vehicle
S. Chahba, R. Sehab, A. Akrad, C. Morel
-
An E-Maintenance IoT Sensor Node Designed for Fleets of Diverse Heavy-Duty Vehicles
George Charkoftakis, Panagiotis Liosatos, Nicolas-Alexander Tatlas, Dimitrios Goustouridis, Stelios M. Potirakis
-
Research Design for Developing and Validating Ice-Hockey Team Diagnostics Scale
Gergely Géczi
-
Fault Detection and Diagnosis of Broken Bar Problem in Induction Motors Base Wavelet Analysis and EMD Method: Case Study of Mobarakeh Steel Company in Iran
M. Ahmadi, M. Kafil, H. Ebrahimi
-
Condition Monitoring for Twin-Fluid Nozzles with Internal Mixing
C. Lanzerstorfer
-
Assessment of Solid Insulating Material Using Partial Discharge Characteristics
Qasim Khan, Furkan Ahmad, Asfar A. Khan, M. Saad Alam, Faiz Ahmad
-
Tool Condition Monitoring of Ceramic Inserted Tools in High Speed Machining through Image Processing
Javier A. Dominguez Caballero, Graeme A. Manson, Matthew B. Marshall
-
Sensor and Actuator Fault Detection in Connected Vehicles under a Packet Dropping Network
Z. Abdollahi Biron, P. Pisu
-
Extremism among College and High School Students in Moscow: Diagnostics Features
Puzanova Zhanna Vasilyevna, Larina Tatiana Igorevna, Tertyshnikova Anastasia Gennadyevna
-
A Flute Tracking System for Monitoring the Wear of Cutting Tools in Milling Operations
Hatim Laalej, Salvador Sumohano-Verdeja, Thomas McLeay
-
Experimental and Finite Element Study of Bending Fatigue Failure: A Case Study on Main Shaft of a Gyrator Crusher
Rahim Sotoudeh Bahreini, Alireza Foroughi Nematollahi, Akbar Jafari
-
A Detection Method of Faults in Railway Pantographs Based on Dynamic Phase Plots
G. Santamato, M. Solazzi, A. Frisoli
-
Investigation of Crack Formation in Ordinary Reinforced Concrete Beams and in Beams Strengthened with Carbon Fiber Sheet: Theory and Experiment
Anton A. Bykov, Irina O. Glot, Igor N. Shardakov, Alexey P. Shestakov
-
Bearing Condition Monitoring with Acoustic Emission Techniques
Faisal AlShammari, Abdulmajid Addali
Digital Program consists of the e-proceedings book which is available online-only
and includes the conference communications (proceedings abstracts and papers).
Registered participants can access the digitally available conference
proceedings ( and certificates ) by visiting their profile pages.
Diagnostics for electrical machines, power electronics and drives
Electrical machines diagnosis
Condition monitoring of electrical machines
Faults in electrical machines and their diagnosis
Modeling induction machine winding faults for diagnosis
Closed-loop diagnosis of the induction machine
Induction machine diagnosis using observers
Thermal monitoring of the induction machine
Electrical and mechanical faults diagnosis of induction machines using signal analysis
Fault diagnosis of the induction machine by neural networks
Faults detection and diagnosis in a static converter
Abstracts/Full-Text Paper Submission Deadline |
|
November 28, 2024 |
Notification of Acceptance/Rejection |
|
December 13, 2024 |
Final Paper (Camera Ready) Submission & Early Bird Registration Deadline |
|
December 26, 2024 |
Conference Dates |
|
January 30-31, 2025 |