Special Issue "Advances in Signal Processing for SHM and NDT"

A special issue of Signals (ISSN 2624-6120).

Deadline for manuscript submissions: closed (15 July 2022) | Viewed by 1777

Special Issue Editors

Mechanics of Materials and Structures (UGent-MMS), Ghent University, 9052 Gent, Belgium
Interests: structural health monitoring; nondestructive evaluation; machine learning; nonlinear elastic waves; ultrasonic imaging; acoustic emission; signal processing
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Cardiff School of Engineering, Cardiff University, The Parade, Queen’s Building, Cardiff CF24 3AA, UK
Interests: uncertainty quantification; Bayesian inference; structural dynamics; reduced order computational modeling; robust optimization; machine learning; vibration and noise control
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Mechanics of Intelligent Structures Department, IMP PAN, 80-231 Gdańsk, Poland
Interests: sensor placement optimization; Modal based SHM; FBG sensors and Data fusion; Kalman Filter; signal processing theory and methods
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Special Issue Information

Dear Colleagues, 

The primary purpose of this Special Issue is to provide an interdisciplinary forum for discussion on structural health monitoring (SHM) and nondestructive testing (NDT) strategies associated with signal processing, engineering, material science, computer science, physics, and biomedical engineering. So far, these topics have been presented and discussed separately by different communities. We welcome articles that unite multiple perspectives and/or views from distinct disciplines. As such, this Special Issue will cover the analysis of various types of materials (e.g., composite, metallic, crystal, bone cells, amongst others) and through manual, semi-automatic, and automated techniques (e.g., via machine learning). 


Topics of interest include, but are not limited to, the following: 

  • SHM and NDT methods for assessment of valuable assets
  • New signal processing and filtering methods
  • Artificial intelligence, machine learning, and data mining;
  • Damage modeling, fracture simulation
  • Ultrasonic signals and their applications;
  • Uncertainty quantification and management
  • Acoustic emission, guided waves
  • Vibration-based SHM
  • Damage identification

Moreover, we welcome contributions that describe work supporting research on SHM and NDT, such as dedicated software repositories and annotated databases.

Dr. Shirsendu Sikdar
Dr. Abhishek Kundu
Dr. Rohan Soman
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. Signals is an international peer-reviewed open access quarterly 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 1000 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.

Published Papers (1 paper)

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16 pages, 1370 KiB  
Computational Vibro-Acoustic Time Reversal for Source and Novelty Localization
Signals 2022, 3(4), 721-736; https://doi.org/10.3390/signals3040043 - 12 Oct 2022
Viewed by 1111
Time reversal has been demonstrated to be effective for source and novelty detection and localization. We extend here previous work in the case of a coupled structural-acoustic system, to which we refer to as vibro-acoustic. In this case, novelty means a change that [...] Read more.
Time reversal has been demonstrated to be effective for source and novelty detection and localization. We extend here previous work in the case of a coupled structural-acoustic system, to which we refer to as vibro-acoustic. In this case, novelty means a change that the structural system has undergone and which we seek to detect and localize. A single source in the acoustic medium is used to generate the propagating field, and several receivers, both in the acoustic and the structural part, may be used to record the response of the medium to this excitation. This is the forward step. Exploiting time reversibility, the recorded signals are focused back to the original source location during the backward step. For the case of novelty detection, the difference between the field recorded before and after the structural modification is backpropagated. We demonstrate that the performance of the method is improved when the structural components are taken into account during the backward step. The potential of the method for solving inverse problems as they appear in non destructive testing and structural health monitoring applications is illustrated with several numerical examples obtained using a finite element method. Full article
(This article belongs to the Special Issue Advances in Signal Processing for SHM and NDT)
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