sensors-logo

Journal Browser

Journal Browser

Intelligent Sensing Technology for Structural Vibration Control and Non-Destructive Testing

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Physical Sensors".

Deadline for manuscript submissions: 25 March 2026 | Viewed by 297

Special Issue Editors


E-Mail Website
Guest Editor
Mechanical and Electronic Engineering School, Nanjing Forestry University, Nanjing 210037, China
Interests: intelligent control; smart materials and structures; structural vibration control
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
School of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
Interests: UAV flight control; anti-disturbance control; robot control; cooperative control; non-linear control; deep learning; image processing

E-Mail Website
Guest Editor
School of Civil Engineering, Southeast University, Nanjing 210096, China
Interests: non-destructive testing and structural health monitoring; ultrasound; nonlinear ultrasound; non-contact sensing; additive manufacturing
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Structural vibrations are widespread phenomena, impacting civil structures during seismic events, bridges under vehicle loads, high-rises in strong winds, and mechanical equipment during operation. These dynamics stem from external forces or inherent structural properties. Prolonged or intense vibrations can lead to fatigue damage, loosened connections, compromised precision in instrumentation, and even catastrophic failures, thereby posing serious risks to structural safety and service life. Consequently, effective vibration control and damage monitoring are crucial for maintaining structural integrity. In recent years, intelligent sensing technologies for structural vibration control and non-destructive testing have made significant strides. Advances in high-precision sensors—such as accelerometers, fiber Bragg gratings, piezoelectric sensors, and vision-based sensors—along with improvements in multi-source data fusion algorithms, have facilitated their application in critical infrastructure, including bridges, high-rises, wind turbines, and industrial machinery. However, many existing systems often struggle in complex vibration scenarios, such as sudden strong earthquakes, extreme wind loads, and coupled mechanical resonances. Limitations in sensing accuracy, delays in feature extraction, and inadequate control strategies often reduce their effectiveness in capturing rare or extreme vibration modes, thereby impeding accurate damage detection.

This Special Issue aims to present cutting-edge research on intelligent sensing technologies for structural vibration control and non-destructive testing. We welcome contributions on topics including, but not limited to, the following: the development of intelligent sensors, AI-powered vibration monitoring, multi-sensor fusion for disaster simulation in infrastructure, and advanced safety early warning systems.

We look forward to receiving your contributions.

Prof. Dr. Yingqing Guo
Prof. Dr. Tao Li
Dr. Peipei Liu
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. Sensors is an international peer-reviewed open access semimonthly 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 2600 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

  • structural vibration control
  • intelligent sensing technology
  • non-destructive testing
  • multi-sensor fusion
  • artificial intelligence (AI)

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.

Further information on MDPI's Special Issue policies can be found here.

Published Papers (1 paper)

Order results
Result details
Select all
Export citation of selected articles as:

Research

18 pages, 4876 KB  
Article
Research on the Dynamic Mechanism and Multi-Parameter Collaborative Optimization of a Cantilevered Conveyor Trough in Combine Harvesters for Vibration Suppression
by Qi He, Zhan Su, Pengfei Qian, Zhong Tang, Zhaoming Zhang, Jiahao Shen and Ting Lu
Sensors 2025, 25(23), 7397; https://doi.org/10.3390/s25237397 - 4 Dec 2025
Abstract
Excessive swing of the cantilevered conveyor trough is a key issue restricting the working efficiency and operational stability of combine harvesters. To suppress its swing, this study established a dynamic model of the conveyor trough to reveal the influence mechanisms of the initial [...] Read more.
Excessive swing of the cantilevered conveyor trough is a key issue restricting the working efficiency and operational stability of combine harvesters. To suppress its swing, this study established a dynamic model of the conveyor trough to reveal the influence mechanisms of the initial angle, overall length, and cylinder pivot length on its swing characteristics. Orthogonal experimental design and multi-factor analysis of variance were employed to systematically analyze the significance of these three factors on swing amplitude, identifying cylinder pivot length as the most dominant factor. Optimization results determined the optimal parameter combination as an initial angle of 48.33°, an overall length of 1.45 m, and a cylinder pivot length of 1.1 m. Field tests verified that this optimized scheme reduces the swing amplitude by 11.62%, with a minimal error of 0.57% between theoretical and measured values, providing a reliable theoretical and experimental basis for the low-vibration design of combine harvester conveying mechanisms. Full article
Show Figures

Figure 1

Back to TopTop