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Sensing Technologies for Damage Detection and Condition Monitoring
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Sensing Technologies for Damage Detection and Condition Monitoring

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

Deadline for manuscript submissions: closed (25 April 2024) | Viewed by 3914

Special Issue Editors

Dr. Magdalena Palacz

E-Mail Website
Guest Editor
Department of Production Engineering, Faculty of Management and Organisation, Silesian University of Technology, Roosevelta 26-28, 41-800 Zabrze, Poland
Interests: sensing technologies; numerical modeling; damage detection; wave propagation; energy harvesting
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Marek Krawczuk

E-Mail Website
Guest Editor
Institute of Mechanics and Machine Design, Faculty of Mechanical Engineering and Ship Technology, Gdansk University of Technology, Narutowicza 11/12, 80-233 Gdańsk, Poland
Interests: finite element modeling; numerical modeling; signal processing; numerical analysis; structural analysis; finite element analysis
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The diagnosis of mechanical devices poses interesting challenges for modern engineering. This is due to the rapid development of materials engineering, which allows the use of modern structural materials and enables the use of these materials in the design of active measurement systems. The primary task of the aforementioned measuring system is to correctly record the technical parameters of the object, which directly translates into a properly functioning condition monitoring system. Applications for systems using classical structural materials, but also composite materials, are of interest. Diagnostics of composite objects is particularly important, as these are relatively new materials, so it is worth paying attention to the proposed diagnostic solutions for this type of construction.

This Special Issue of Sensors aims to introduce the reader to the latest developments in modern damage identification and condition monitoring systems using interesting novel and reliable sensing solutions. Manuscripts are welcome for submission.

Dr. Magdalena Palacz
Prof. Dr. Marek Krawczuk
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. 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

  • damage detection
  • sensor technology
  • structural health monitoring

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Published Papers (3 papers)

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Research

21 pages, 6696 KiB  
Article
Optimal Sensor Placement for Vibration-Based Damage Localization Using the Transmittance Function
by Ilias Zacharakis and Dimitrios Giagopoulos
Sensors 2024, 24(5), 1608; https://doi.org/10.3390/s24051608 - 1 Mar 2024
Viewed by 1397
Abstract
A methodology for optimal sensor placement is presented in the current work. This methodology incorporates a damage detection framework with simulated damage scenarios and can efficiently provide the optimal combination of sensor locations for vibration-based damage localization purposes. A classic approach in vibration-based [...] Read more.
A methodology for optimal sensor placement is presented in the current work. This methodology incorporates a damage detection framework with simulated damage scenarios and can efficiently provide the optimal combination of sensor locations for vibration-based damage localization purposes. A classic approach in vibration-based methods is to decide the sensor locations based, either directly or indirectly, on the modal information of the structure. While these methodologies perform very well, they are designed to predict the optimal locations of single sensors. The presented methodology relies on the Transmittance Function. This metric requires only output information from the testing procedure and is calculated between two acceleration signals from the structure. As such, the outcome of the presented method is a list of optimal combinations of sensor locations. This is achieved by incorporating a damage detection framework that has been developed and tested in the past. On top of this framework, a new layer is added that evaluates the sensitivity and effectiveness of all possible sensor location combinations with simulated damage scenarios. The effectiveness of each sensor combination is evaluated by calling the damage detection framework and feeding as inputs only a specific combination of acceleration signals each time. The final output is a list of sensor combinations sorted by their sensitivity. Full article
(This article belongs to the Special Issue Sensing Technologies for Damage Detection and Condition Monitoring)
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18 pages, 6470 KiB  
Article
Detection of Closing Cracks in Beams Based on Responses Induced by Harmonic Excitation
by Samrawit A. Tewelde and Marek Krawczuk
Sensors 2024, 24(1), 247; https://doi.org/10.3390/s24010247 - 31 Dec 2023
Viewed by 911
Abstract
The non-linear contact model was chosen to simulate a closed crack in a cantilever beam. This study examines the shape and characteristics of the phase diagram of a cantilever beam with closed cracks. It investigates how various crack properties influence the geometry of [...] Read more.
The non-linear contact model was chosen to simulate a closed crack in a cantilever beam. This study examines the shape and characteristics of the phase diagram of a cantilever beam with closed cracks. It investigates how various crack properties influence the geometry of the phase diagram and proposes a method for identifying cracks based on their features. The area of each closed curve in the phase diagram was determined using the pixel method. Based on the results, the contact model proved effective in simulating closed cracks and was sensitive to nonlinear closing cracks. The vibration responses of beams with different damage severities and positions exhibited distinct geometric features. The crack parameter was identified by locating the intersection of contour lines on the maps. According to numerical calculations, the phase diagrams for super-harmonic resonance seem to be more susceptible to changes in closed cracks with varied damage locations and severities. The wavelet transform was also employed to identify closed cracks using RMS signals, and the results were compared with those obtained from the phase diagram. Full article
(This article belongs to the Special Issue Sensing Technologies for Damage Detection and Condition Monitoring)
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19 pages, 6083 KiB  
Article
A Condition-Monitoring Method for Rolling Bearings Based on Dynamic Asynchronous Peak-Factor Ratios
by Guanhua Zhu, Quansi Huang and Zeyu Zhang
Sensors 2023, 23(21), 8939; https://doi.org/10.3390/s23218939 - 2 Nov 2023
Cited by 1 | Viewed by 1164
Abstract
In response to issues such as the lack of capability for timely early warning and the difficulty in monitoring the status of rolling bearings, a condition-monitoring method for rolling bearings based on the Honey Badger Algorithm (HBA) for optimizing dynamic asynchronous periods is [...] Read more.
In response to issues such as the lack of capability for timely early warning and the difficulty in monitoring the status of rolling bearings, a condition-monitoring method for rolling bearings based on the Honey Badger Algorithm (HBA) for optimizing dynamic asynchronous periods is proposed. This method is founded on the peak factor and involves comparing peak factors at different periods to construct a dynamic asynchronous peak-factor-ratio-monitoring index, which is then optimized using the HBA. Simulated experiments were carried out using the XJTU-SY dataset. The results indicate that, compared to the early warning times defined by international standards, the warning times provided using this method are consistently over 33 min in advance within the test dataset. Additionally, an envelope spectrum analysis of the warning data confirms the existence of early faults. This demonstrates that the monitoring indicator developed in this paper is capable of delivering earlier and more accurate early fault warnings and condition monitoring for rolling bearings. Full article
(This article belongs to the Special Issue Sensing Technologies for Damage Detection and Condition Monitoring)
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