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Condition-Based Monitoring of Electrical Machines

Special Issue Information

Dear Colleagues,

In electrical machines and their applications in industry, condition monitoring is the basis for predictive maintenance. Machine health monitoring is a process of verifying the health of machinery during its normal operation. It is based on data acquisition, its processing and its comparison with trend and representative data from similar machines. In recent years, various machine health monitoring techniques have emerged that are used to determine the machine condition; additionally, advancements related to sensors, software and hardware are essential to achieve this goal. However, the topic continues to generate new trends in methodologies related to condition-based monitoring. The goal of this Special Issue is to bring researchers and industrial practitioners together to share their research findings and present ideas that are relevant in the field of electrical machine monitoring for determination of machine condition. 

Prof. Dr. Roque A. Osornio-Rios
Prof. Dr. Jose Alfonso Antonino-Daviu
Dr. Arturo Y. Jaen-Cuellar
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Machines is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • condition detection
  • condition diagnosis
  • sensor fusion system
  • novelty detection
  • data mining
  • monitoring algorithms
  • electrical machines
  • induction motors

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Machines - ISSN 2075-1702Creative Common CC BY license