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Feature Papers in Fault Diagnosis & Sensors 2026

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

Deadline for manuscript submissions: 31 December 2026 | Viewed by 383

Special Issue Editors


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Guest Editor
Department of Mathematics, Escola d’Enginyeria de Barcelona Est (EEBE), Universitat Politècnica de Catalunya (UPC), Campus Diagonal-Besòs (CDB), Eduard Maristany, 16, 08019 Barcelona, Spain
Interests: structural health monitoring; condition monitoring; piezoelectric transducers; PZT; data science; wind turbines
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
1. Department of Mechanical Engineering, California Polytechnic State University, San Luis Obispo, CA 93405, USA
2. School of Civil Engineering, University of Leeds, Leeds LS2 9JT, UK
Interests: AI-based methods for structural health monitoring and dynamic response; random vibrations; hysteretic systems; seismic isolation; reliability and resilience
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Instituto Tecnológico de la Energía, Universitat Politècnica de València, 46022 Valencia, Spain
Interests: electrical machines; fault diagnosis; reliability; signal processing
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

We are pleased to announce that the Fault Diagnosis & Sensors section is currently compiling a collection of high-quality papers for an upcoming Special Issue entitled “Feature Papers in Fault Diagnosis & Sensors 2026”. This Special Issue aims to showcase outstanding contributions from scholars working in this research field. The Special Issue will cover, but is not limited to, the following topics: fault detection and diagnosis; fault and failure prognosis; structural health monitoring; condition monitoring; intelligent sensors and sensor networks for fault diagnosis; digital twins for fault diagnosis; modeling and simulation; pattern recognition; machine learning; artificial intelligence; and data analytics applied to fault diagnosis, failure prognosis, and non-destructive testing (NDT).

The purpose of this Special Issue is to publish a selection of papers that represent original, insightful, and influential research, including both high-quality original research articles and review papers. Our goal is to curate a collection of contributions that will be widely read and have a lasting impact on the field. We would also like to take this opportunity to invite outstanding researchers to engage with and contribute to the Fault Diagnosis & Sensors section, as we work together to achieve new milestones and advance this important research area.

Prof. Dr. Francesc Pozo
Prof. Dr. Mohammad Noori
Prof. Steven Chatterton
Prof. Dr. Jose Alfonso Antonino-Daviu
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

  • fault detection and diagnosis
  • fault/failure prognosis
  • structural health monitoring
  • condition monitoring
  • non-destructive testing

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Published Papers (1 paper)

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Research

20 pages, 1656 KB  
Article
Design and Evaluation of a Flexible Substrate-Based Microstrip Sensor for Partial Discharge Detection in High-Voltage Equipment
by Shuhao Dong and Xiao Hu
Sensors 2026, 26(11), 3304; https://doi.org/10.3390/s26113304 - 22 May 2026
Abstract
Partial discharge (PD) detection effectively identifies insulation defects in power equipment. Radio frequency (RF) methods for PD detection offer promising advantages due to their non-invasive measurement capability and ability to locate discharge sources. However, microstrip antennas used as RF sensors for PD detection [...] Read more.
Partial discharge (PD) detection effectively identifies insulation defects in power equipment. Radio frequency (RF) methods for PD detection offer promising advantages due to their non-invasive measurement capability and ability to locate discharge sources. However, microstrip antennas used as RF sensors for PD detection suffer from narrow bandwidth and limited installation flexibility. To address these limitations, this paper presents a novel flexible microstrip antenna design. By incorporating a partial ground plane and oblique-cut meandering techniques and optimizing the structural parameters using an improved whale optimization algorithm (I-WOA), the operating bandwidth is expanded from 0.612–0.625 GHz to 0.346–2.0 GHz, while the overall size is reduced to 75.3% of its original dimensions. The antenna’s performance was validated through GTEM cell measurements and PD calibration pulse tests, confirming its suitability for RF detection of PD in power equipment such as transformers and cable joints. Notably, when the antenna was conformally wrapped around a cable joint, the response amplitude increased by 14%. This study contributes to the development of a low-cost, broadband, and flexibly installable RF sensor for partial discharge detection. Full article
(This article belongs to the Special Issue Feature Papers in Fault Diagnosis & Sensors 2026)
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