Special Issue "Monitoring and Fault Identification Based on Artificial Intelligence Methods"
Deadline for manuscript submissions: 30 November 2023 | Viewed by 3391
Interests: condition monitoring; fault identification; feature extraction; feature reduction; novelty detection; vibration analysis; mcsa; artificial intelligence
Interests: industry 4.0 and digital transformation; condition-based monitoring; predictive maintenance and control; cyber–physical systems and digital twins
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Condition monitoring strategies play an important key role in the fault identification in rotating machines leading to determining the current status and the future evolution/degradation of health conditions. Currently, Artificial Intelligence (AI) allows proposing novel monitoring structures to overcome recent challenges in the field of fault diagnosis. Therefore, this Special Issue is focused on but is not limited to the following topics:
- Condition monitoring;
- Fault detection and identification;
- Rotating machines;
- Complex signal processing applied to transient and stationary regimes;
- Feature calculation, feature extraction, and feature selection;
- Smart sensors for fault detection in Industry 4.0;
- Artificial intelligence methods.
Dr. Juan Jose Saucedo-Dorantes
Dr. Miguel Delgado-Prieto
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.