Vibration-Based Machines Wear Monitoring and Prediction, 2nd Edition

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

Deadline for manuscript submissions: 31 August 2026 | Viewed by 227

Special Issue Editors


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Guest Editor
Department of Engineering Sciences, Babes-Bolyai University, Traian Vuia Square, 320085 Reşiţa, Romania
Interests: damage detection; gear design; gear manufacturing; gear testing; vibration
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Guest Editor
College of 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,

Wear monitoring and prediction in vibration-based machines are very important concerns related to the accurate operation of machines to ensure their desirable operational properties, safety, and integrity. In this respect, in recent years, there has been an expansion of the increase in vibration-based methods for monitoring and predicting wear in rotating machines. This evolution was positively influenced by the following factors: the advancement of measurement techniques and devices in vibration engineering, as well as the progress of mathematical tools for signal processing and conditioning. All these factors impact actual tendencies related to vibration-based wear monitoring and prediction in machines and their components.

We are pleased to invite you to contribute to this Special Issue. We aim to collate interdisciplinary contributions focused on the wear monitoring and prediction of vibration-based machines. We hope that you will be motivated to conduct and subsequently submit some original research.

This Special Issue aims to cover wear monitoring of machines and damage prediction topics related to numerical simulation and theoretical studies and practical solutions applicable in vibration-generating devices and rotating machines, structural elements of heavy machines and vehicles, and so on.

For this Special Issue, original research articles and reviews are welcome to be submitted. Research areas may include, but are not limited to, the following:

  • Methods and apparatus of vibration-based wear monitoring;
  • Advanced signal processing methods for vibration-based wear monitoring;
  • Advanced theoretical discussion on wear propagation in technical systems;
  • Wear monitoring and prediction in rotating machines;
  • Wear prediction in 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 250 words) can be sent to the Editorial Office for assessment.

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

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