Electrical Machine Health Monitoring and Fault Diagnosis
A special issue of Machines (ISSN 2075-1702). This special issue belongs to the section "Machines Testing and Maintenance".
Deadline for manuscript submissions: 31 July 2024 | Viewed by 353
Special Issue Editors
Interests: electrical machines; fault diagnosis and prognosis; drives; intelligent systems; machine learning
Interests: electrical machines; fault diagnosis and prognosis; drives; intelligent systems; machine learning
Special Issue Information
Dear Colleagues,
With great pleasure and pride, we announce the Special Issue entitled “Electrical Machine Health Monitoring and Fault Diagnosis” in MDPI’s Machines journal.
Electric machines are present in the most varied human activities. From industry to electric vehicles, and from home appliances to electric generators, these machines are one of the primary sources of electromechanical energy conversion.
It is recently observed that predictive maintenance plays a prominent role in many economic sectors. Thus, diagnosing and classifying faults in electrical machines make up a broad area of study that involves various types of faults and sensors, the application of signal processing techniques, and the classification of data patterns.
Because of the remarkable relevance of the topic in relation to electrical machine failures, we invite all worldwide researchers to submit their most recent and original work to this issue. The topics include, but are not limited to, condition monitoring, fault diagnosis, and the prognosis of general electrical machines, such as motors, generators, transformers, and drives.
Prof. Dr. Alessandro Goedtel
Prof. Dr. Marcelo Favoretto Castoldi
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
- electrical machines
- fault identification
- prognosis
- drives
- motors
- generators
- transformers
