Advanced Dynamic Measurement and Vibration Analysis for Smart Industrial Systems: Novel Sensing Technologies and AI-Driven Diagnostics
A special issue of Machines (ISSN 2075-1702). This special issue belongs to the section "Machines Testing and Maintenance".
Deadline for manuscript submissions: 30 June 2026 | Viewed by 8
Special Issue Editors
Interests: structural health monitoring; machinery fault diagnosis; finite element modeling; uncertainty quantification of manufacturing processes and dynamic systems; reliability analysis and robust design optimization; smart structures and sensing technologies including full non-contact methods
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2. Laboratory of Heating, Ventilation, Air-Conditioning and Refrigeration, Cracow University of Technology, 31-155 Kraków, Poland
Interests: computational fluid dynamics; finite element modelling; flow measurements; sensing technologies for fluid and gas systems; environmental engineering; energy consumption; contaminant distribution in the air; air quality measurements; cooling and ventilation systems design; HVAC systems; cryogenics
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The rapid evolution of sensing technologies, from traditional contact-based methods to sophisticated non-contact optical systems, has enabled unprecedented insights into machine behavior. Three-dimensional laser vibrometry, particle image velocimetry, and high-speed imaging now provide detailed characterization of complex dynamic phenomena that were previously impossible to measure. When combined with artificial intelligence and machine learning algorithms, these technologies enable intelligent pattern recognition, anomaly detection, and predictive analytics that transform raw measurement data into actionable industrial intelligence.
This Special Issue emphasizes the integration of multiple sensing modalities to create comprehensive monitoring systems. Modern industrial applications require the fusion of accelerometer data, optical measurements, strain sensing, and environmental parameters to fully understand system behavior. The challenge lies not only in acquiring high-quality measurements but also in processing, analyzing, and interpreting vast amounts of multi-dimensional data in real-time industrial environments.
Areas of interest focus on vibration and sound/noise and include, but are not limited to, the following:
- Advanced Dynamic Measurement Techniques :
- Non-invasive sensing methods ;
- Dynamic calibration and real-time uncertainty analysis;
- Vibration and acoustic data acquisition under operational conditions.
- Vibration and Acoustic Diagnostics:
- Modeling and analysis of vibrations in complex mechanical systems;
- Fault detection and structural health monitoring of machinery;
- Development of digital twins and predictive NVH (Noise, Vibration, Harshness) models.
- Robotics, Cobots, and Intelligent Mechatronic Systems:
- Vibration and noise diagnostics in mobile robots, manipulators, and collaborative robots;
- Integration of dynamic sensors with control and adaptive systems;
- Vocal communication between cobots and humans;
- Sound generation by robots and cobots.
- Design Optimization and Vibration Control:
- Isolation strategies, acoustic barriers, and vibration absorbers (e.g., micro-perforated panels);
- Adaptive active and passive vibration control;
- Real-time sensing–control synchronization, including feedback loops.
- Acoustic Identification and Sound Signal Analysis:
- Noise source detection and localization in machinery and robots;
- Sound-based machine condition classification ;
- Machine learning and AI approaches for acoustic diagnostic modeling.
- Engineering Precision and Digital Transformation:
- Optimization of sensing systems and data acquisition strategies;
- Multi-physics integration of acoustic, vibration, and geometric measurements;
- Implementation of digital twins, IoT, and cloud-based monitoring platforms.
Dr. Lukasz Scislo
Dr. Nina Szczepanik-Scislo
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
- vibration measurement
- vibration control
- condition monitoring
- vibratory machines
- vibration control
- finite element modeling
- structural health monitoring
- modal analysis
- FFT
- noise control
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