Vibration-Based Machines Wear Monitoring and Prediction

A special issue of Machines (ISSN 2075-1702). This special issue belongs to the section "Machines Testing and Maintenance".

Deadline for manuscript submissions: 30 October 2024 | Viewed by 343

Special Issue Editors


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Guest Editor
Department of Engineering Sciences, Babes-Bolyai University, Traian Vuia square, No. 1-4, 320085 Reşiţa, Romania
Interests: damage detection; gear design; gear manufacturing; gear testing; vibration
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Guest Editor
Department of Aerospace Engineering, Swansea University, Swansea SA1 8EN, UK
Interests: morphing aircraft; structural dynamics; structural health monitoring; rotordynamics; smart structures; nonlinear dynamics
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Special Issue Information

Dear Colleagues,

The application of vibration-based machines for wear monitoring and prediction is crucial in the accurate operation of machines, ensuring their optimum operational properties, safety, and integrity. In this respect, an increase in the utilization of vibration-based methods for the monitoring and prediction of wear in rotating machines has been observed in recent years. This evolution has been positively influenced by the following factors: advances in measurement techniques and the devices employed in vibration engineering, and the development of mathematical tools for signal processing and conditioning. All these factors impact vibration-based wear monitoring and prediction in machines and their components.

We are pleased to invite you to contribute to this Special Issue, which aims to collect interdisciplinary contributions on vibration-based machines for wear monitoring and prediction.

This Special Issue also aims to address the monitoring of wear in machines and the task of damage prediction in relation to numerical simulation and theoretical studies; this is in addition to practical solutions that are applicable to vibration-generating devices and rotating machines, the structural elements of heavy machines, vehicles, and so on.

In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:

  • Methods and aparatus of vibration-based wear monitoring;
  • Advanced signal processing methods for vibration-based wear monitoring;
  • Advanced theoretical discussions on wear propagation in technical systems;
  • Wear monitoring and prediction in rotating machines;
  • Wear prediction in the structural elements of machines;
  • Wear modeling and simulations;
  • Remaining useful life prediction;
  • Practical cases of vibration-based wear monitoring and prediction;
  • Assessment of wear identification.

We look forward to receiving your contributions.

Dr. Zoltan-Iosif Korka
Prof. Dr. Michael I. Friswell
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 monitoring
  • prediction
  • rotating machine
  • simulation
  • signal processing
  • vibration
  • wear monitoring

Published Papers

This special issue is now open for submission.
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