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Sensors
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Smart Textile Systems for Fault Detection and Diagnosis
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Smart Textile Systems for Fault Detection and Diagnosis

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

Deadline for manuscript submissions: closed (30 October 2022) | Viewed by 2657

Special Issue Editors

Dr. Cedric Cochrane

E-Mail Website
Guest Editor
École Nationale Supérieure des Arts et Industries Textiles/Génie et Matériaux Textiles laboratory (ENSAIT/GEMTEX), 2 Allée Louis et Victor Champier, F-59100 Roubaix, France
Interests: smart textiles; textile and flexible sensors; e-textiles; textiles and flexible actuators; mechanical sensors; reliability of smart textiles; textile monitoring
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Anne Schwarz-Pfeiffer

E-Mail Website
Guest Editor
Department of Textile and Clothing Technology, Hochschule Niederrhein University of Applied Sciences, Webschulstrasse 31, 41065 Moenchengladbach, Germany
Interests: smart textiles; e-textiles; electro-conductive coatings; textile electronic components; functional multilayer systems
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Smart and interactive textiles are a growing and fascinating research field with enormous potential in the future. The most prominent examples cover a wide spectrum of application areas, such as the medical and healthcare market, as well as structural health monitoring applications in the automotive, building and geotextile sector. Systems for these applications fields include textile structures with sensory functions and clothing systems with integrated electrodes to detect malfunctions of the human body, smart textile alerting systems by changing color, form or sound emission or strain, and pressure sensor systems in textile-reinforced composite structures.

One of the most crucial issues to be solved is the identification of reliable materials and processes to serve application fields. Against this background, the purpose of this Special Issue is to publish high-quality research articles as well as reviews on smart textile systems for fault detection and diagnosis open to any application field.

Potential topics include but are not limited to the following:

  • Simulation of smart textile functionalities;
  • Smart textile systems for detecting malfunctions and unusual events;
  • Robust interconnection systems for smart textiles to improve reliability.

Dr. Cedric Cochrane
Prof. Anne Schwarz-Pfeiffer
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.

Published Papers (1 paper)

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Research

20 pages, 3563 KiB  
Article
Interdisciplinary Research to Advance Digital Imagery and Natural Compounds for Eco-Cleaning and for Preserving Textile Cultural Heritage
by Dorina Camelia Ilies, Zlatin Zlatev, Alexandru Ilies, Berdenov Zharas, Emilia Pantea, Nicolaie Hodor, Liliana Indrie, Alexandru Turza, Hamid R. Taghiyari, Tudor Caciora, Monica Costea, Bahodiron Safarov and Barbu-Tudoran Lucian
Sensors 2022, 22(12), 4442; https://0-doi-org.brum.beds.ac.uk/10.3390/s22124442 - 12 Jun 2022
Cited by 9 | Viewed by 1896
Abstract
The old fibers that make up heritage textiles displayed in museums are degraded by the aging process, environmental conditions (microclimates, particulate matter, pollutants, sunlight) and the action of microorganisms. In order to counteract these processes and keep the textile exhibits in good condition [...] Read more.
The old fibers that make up heritage textiles displayed in museums are degraded by the aging process, environmental conditions (microclimates, particulate matter, pollutants, sunlight) and the action of microorganisms. In order to counteract these processes and keep the textile exhibits in good condition for as long as possible, both reactive and preventive interventions on them are necessary. Based on these ideas, the present study aims to test a natural and non-invasive method of cleaning historic textiles, which includes the use of a natural substance with a known antifungal effect (being traditionally used in various rural communities)—lye. The design of the study was aimed at examining a traditional women’s shirt that is aged between 80–100 years, using artificial intelligence techniques for Scanning Electron Microscopy (SEM) imagery analysis and X-ray powder diffraction technique in order to achieve a complex and accurate investigation and monitoring of the object’s realities. The determinations were performed both before and after washing the material with lye. SEM microscopy investigations of the ecologically washed textile specimens showed that the number of microorganism colonies, as well as the amount of dust, decreased. It was also observed that the surface cellulose fibers lost their integrity, eventually being loosened on cellulose fibers of cotton threads. This could better visualize the presence of microfibrils that connect the cellulose fibers in cotton textiles. The results obtained could be of real value both for the restorers, the textile collections of the different museums, and for the researchers in the field of cultural heritage. By applying such a methodology, cotton tests can be effectively cleaned without compromising the integrity of the material. Full article
(This article belongs to the Special Issue Smart Textile Systems for Fault Detection and Diagnosis)
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