Special Issue "Dynamics and Diagnostics of Heavy-Duty Industrial Machines, Volume II"

A special issue of Machines (ISSN 2075-1702). This special issue belongs to the section "Industrial Systems".

Deadline for manuscript submissions: 20 January 2024 | Viewed by 93

Special Issue Editors

Digital Mining Center, Faculty of Geoengineering, Mining and Geology, Wroclaw University of Science and Technology, Na Grobli 13, 50-421 Wroclaw, Poland
Interests: mechanical engineering; mining machines; rolling mills; dynamic modeling; industrial engineering; automation; computer science; material science; vibration; condition monitoring; data analytics; interdisciplinary
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Following the success of the previous Special Issue entitled "Dynamics and Diagnostics of Heavy-Duty Industrial Machines"(https://www.mdpi.com/journal/machines/special_issues/heavey_duty), we are pleased to announce the next in the series, entitled "Dynamics and Diagnostics of Heavy-Duty Industrial Machines, Volume II".

Industrial machines constitute the basis of any developed economy. In the design stage, heavy-duty machines are optimized to sustain a harsh working environment and severe external loads. However, during operation, different factors not accounted for in the design stage such as the excessive wear of parts or improper maintenance play a dominant role in overall machine reliability. Under variable operating conditions, machines are subjected to non-stationary loading and different kinds of unpredictable impacts. Many efforts have been undertaken in the dynamics analysis and condition monitoring of complicated large-scale industrial machines like tumbling mills, rotating kilns, rolling mills, underground longwall shearers, conveyors, vibrating screens, rotor excavators, and load-haul-dump vehicles. However, the experimental study of their loading and failures, including the mutual influence of treated material on machines taking into account specific technologies, still requires more in-depth research.

The dynamics of industrial machines include the analysis of numerous nonlinear phenomena, which may occur due to clearances in drivelines or periodic stiffness changing in a gear meshing, the synchronization of coupled drives, the frequency capture and the jumping phenomenon of the amplitude, natural mode variation in the multi-body systems, and other effects. Choosing the appropriate analytical models or numerical methods has a significant effect on either active vibration control or passive damping, and ultimately, the safe operation of machines. Even a small reduction in dynamics may have a great effect on the maintenance costs (via the strength capacity and durability of components), process stability, and product quality.

This Special Issue will provide a forum for researchers and practitioners to exchange their latest theoretical and engineering achievements and identify critical issues and challenges for future studies in the analysis of dynamical phenomena in industrial machines. The results of experimental research in field conditions are highly encouraged for submission. The theoretical papers accepted for submission to this Special Issue are expected to contain original ideas and potential solutions available to resolve real problems.

Topics include, but are not limited to, the following domains:

  • Torsional vibration modeling in the drivelines of rotating machines;
  • Self-excited and friction-induced vibrations (e.g., chatter in rolling mills);
  • Case studies of regular and parametric resonances in gear drivelines;
  • Shock and vibration in high-power hydraulic actuators;
  • Active vibration control and passive damping;
  • The modal analysis and design optimization of multi-body systems;
  • The influence of treated materials on machine dynamics;
  • Diagnostics of clearances in bearings and powertrain couplings;
  • Instrumentation for condition monitoring in harsh environments;
  • Methods of signal processing and data mining for fault diagnostics;
  • Strength capacity under stochastic impulsive loading with non-Gaussian distribution;
  • Cyclic fatigue calculation and remaining useful life prediction;
  • Model-based computerized maintenance management systems (CMMSs).

Dr. Pavlo Krot
Prof. Dr. Radosław Zimroz
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.


  • dynamics
  • multi-body models
  • heavy-duty machines 
  • mining machines 
  • rolling mills 
  • drivelines 
  • vibration diagnostics 
  • chatter 
  • condition monitoring 
  • process control

Published Papers

This special issue is now open for submission.
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