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Intelligent Sensing Technology for Structural Vibration Control and Non-Destructive Testing
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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 January 2027 | Viewed by 4051

Special Issue Editors

Prof. Dr. Yingqing Guo

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
Prof. Dr. Tao Li

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
Prof. Dr. Peipei Liu

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)

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Published Papers (4 papers)

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Research

17 pages, 10033 KB  
Article
Prescribed Performance Attitude-Tracking Control for Rigid Satellite Under External Disturbance
by Chunyu Zhang, Ting Wang, Min Wan and Tao Li
Sensors 2026, 26(7), 2189; https://doi.org/10.3390/s26072189 - 1 Apr 2026
Viewed by 483
Abstract
This paper addresses the attitude control problem for a rigid satellite and proposes an anti-disturbance prescribed performance control (PPC) scheme, aiming to achieve accurate attitude tracking while guaranteeing tracking performance under external disturbances. First, a prescribed-time disturbance observer (PTDO) is developed to achieve [...] Read more.
This paper addresses the attitude control problem for a rigid satellite and proposes an anti-disturbance prescribed performance control (PPC) scheme, aiming to achieve accurate attitude tracking while guaranteeing tracking performance under external disturbances. First, a prescribed-time disturbance observer (PTDO) is developed to achieve the precise and rapid estimation of external disturbances within a prescribed time. Second, an appointed-time performance function (ATPF) is introduced, based on which an asymmetric performance boundary is constructed to ensure convergence within the appointed time. Subsequently, by enforcing the constructed sliding-mode error to satisfy prescribed performance constraint, the desired tracking performance of the satellite attitude system is achieved. Third, according to Lyapunov stability theory, it is proven that the disturbance estimation error and the unconstrained error in the attitude system are uniformly ultimately bounded, thereby enabling the achievement of the desired control performance. Finally, the effectiveness of the proposed control strategy is verified via numerical simulations. Full article
(This article belongs to the Special Issue Intelligent Sensing Technology for Structural Vibration Control and Non-Destructive Testing)
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16 pages, 8303 KB  
Article
Structural Vibration Analysis of UAVs Under Ground Engine Test Conditions
by Sara Isabel González-Cabrera, Nahum Camacho-Zamora, Sergio-Raul Rojas-Ramirez, Arantxa M. Gonzalez-Aguilar, Marco-Osvaldo Vigueras-Zuniga and Maria Elena Tejeda-del-Cueto
Sensors 2026, 26(2), 583; https://doi.org/10.3390/s26020583 - 15 Jan 2026
Cited by 1 | Viewed by 1013
Abstract
Monitoring mechanical vibration is crucial for ensuring the structural integrity and optimal performance of unmanned aerial vehicles (UAVs). This study introduces a portable and low-cost system that enables integrated acquisition and analysis of UAV vibration data in a single step, using a Raspberry [...] Read more.
Monitoring mechanical vibration is crucial for ensuring the structural integrity and optimal performance of unmanned aerial vehicles (UAVs). This study introduces a portable and low-cost system that enables integrated acquisition and analysis of UAV vibration data in a single step, using a Raspberry Pi 4B, data acquisition (DAQ) through a MCC128 DAQ HAT card, and six accelerometers positioned at strategic structural points. Ground-based engine tests at 2700 RPM allowed vibration data to be recorded under conditions similar to those of real operation. Data was processed with a Kalman filter, a Hann window function application, and frequency analysis via Fast Fourier Transform (FFT). The first and second wing bending natural frequencies were identified at 12.3 Hz and 17.5 Hz, respectively, as well as a significant component around 23 Hz, which is a subharmonic of the propulsion system excitation frequency near 45 Hz. The results indicate that the highest vibration amplitudes are concentrated at the wingtips and near the engine. The proposed system offers an accessible and flexible alternative to commercial equipment, integrating acquisition, processing, and real-time visualization. Moreover, its implementation facilitates the early detection of structural anomalies and improves the reliability and safety of UAVs. Full article
(This article belongs to the Special Issue Intelligent Sensing Technology for Structural Vibration Control and Non-Destructive Testing)
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20 pages, 3396 KB  
Article
Vibrational Stress Analysis and Test Verification of Satellite Honeycomb Sandwich Plate Subjected to Acoustic Excitation
by Liang Zhang, Yousheng Shi, Shanbo Chen, Xiangyu Zhao, Jisong Yu and Lei Zhang
Sensors 2025, 25(24), 7444; https://doi.org/10.3390/s25247444 - 7 Dec 2025
Viewed by 1168
Abstract
The vibrational response and stress of satellites subjected to acoustic excitation are essential components to consider in the design process of large satellite constructions. To precisely forecast the vibrational response and stress subjected to acoustic excitation of a large satellite honeycomb sandwich plate, [...] Read more.
The vibrational response and stress of satellites subjected to acoustic excitation are essential components to consider in the design process of large satellite constructions. To precisely forecast the vibrational response and stress subjected to acoustic excitation of a large satellite honeycomb sandwich plate, this article employs finite element modeling software to create a finite element model of satellite, equivalent honeycomb panels to orthotropic shear plates of identical stiffness and dimensions, and convert the acoustic excitation into random pressure on the surface of the flat plate, applying it to the surface of the satellite, then the vibration response and stress analysis subjected to acoustic excitation can be performed. The honeycomb structure collapsed after noise testing on a specific model of a large satellite, the aforementioned technique for response and stress validation was employed: the stress simulation analysis revealed that the maximum shear stress at the fracture site of the honeycomb panel was 0.45 MPa, exceeding the ultimate stress value of 0.44 MPa for the sparse honeycomb core at that location, leading to the collapse and fracture of the honeycomb panel. To resolve this matter, altering the honeycomb core design framework, a local dense honeycomb structure was implemented. The simulated shear stress of the honeycomb core is 0.54 MPa, which is below the stress limit of 2.43 MPa for the dense honeycomb core. To verify the feasibility of the plan, the noise test was conducted once again. Owing to the incapacity to test the shear stress of the honeycomb core, conducted strain testing on the surface of the honeycomb collapse and derive stress results by calculation, the test results deviate from the modeling values by 8.92%. And the maximum discrepancy between the simulated noise response and the experimental noise response is 0.58 g, validated the efficacy and precision of the simulation method, and successfully resolved the issue of damage to satellite honeycomb panels. This simulation method can precisely forecast the vibrational response and stress of satellites subjected to acoustic excitation. Full article
(This article belongs to the Special Issue Intelligent Sensing Technology for Structural Vibration Control and Non-Destructive Testing)
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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
Cited by 1 | Viewed by 729
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
(This article belongs to the Special Issue Intelligent Sensing Technology for Structural Vibration Control and Non-Destructive Testing)
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