Advanced Monitoring of Smart Critical Infrastructures

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Industrial Electronics".

Deadline for manuscript submissions: 15 January 2025 | Viewed by 1179

Special Issue Editors


E-Mail Website
Guest Editor
Department of Engineering, University of Naples Parthenope, 80143 Naples, Italy
Interests: IoT; critical infrastructures; system modeling; dependability; cybersecurity
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Institute of High Performance Computing and Networking, National Research Council of Italy, 80131 Naples, Italy
Interests: predicted models based on machine learning and deep learning; training of deep-learning-based models; training of intelligent agents based on reinforcement learning methods
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Researcher, Institute for High-Performance Computing and Networking (ICAR), National Research Council (CNR), Via Ugo La Malfa, 153, 90146 Palermo, Italy
Interests: advanced adaptive robotic systems; programming and real-time control; collision avoidance; instrument interfacing and data collection
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

In the evolving landscape of infrastructure management, the integration of IoT and machine learning technologies is steering a significant transformation towards automated systems that minimize manual oversight. This Special Issue seeks to present innovative research that leverages non-invasive monitoring technologies—such as ultrasonics, electromagnetic sensors, radar, and satellite data—to enhance the dependability and efficiency of critical infrastructures like bridges, dams, and energy facilities.

Contributors are encouraged to explore advanced data fusion techniques that integrate disparate data streams to create robust decision-making tools in infrastructure management. Such integrations are crucial for ensuring that data across various monitoring systems are synchronized and standardized, guaranteeing both reliability and actionability. This issue will also delve into the architectures of smart critical infrastructure systems, emphasizing the importance of creating intelligent, scalable networks capable of managing large-scale data integration and sharing. These systems are designed to be resilient against both cyber and physical threats, ensuring uninterrupted monitoring and data integrity. Furthermore, contributions that explore the implementation of sophisticated intrusion detection systems (IDSs) are highly valued. These systems are crucial for identifying and mitigating potential security breaches, thereby safeguarding the infrastructure against various forms of attacks. By combining insights from various disciplines, this Special Issue aims to advance the field of smart infrastructure monitoring, fostering the development of systems that enhance the safety, sustainability, and resilience of critical assets globally. Through this collaborative exchange, we expect to uncover new methodologies and technologies that can transform the current practices in critical infrastructure management.

The following targeted topics include, but are not limited to, the following:

  • IoT-based sensing technologies for real-time SHM.
  • Data fusion and machine learning models for lifespan prediction of infrastructures.
  • Predictive analytics for infrastructure longevity
  • Advanced communication protocols enhancing IoT scalability and security in CI applications.
  • Enhanced communication protocols for secure data spaces.
  • Multi-domain security systems for resilient infrastructure monitoring.

Technical Program Committee Member:
Dr. Alfredo Petruolo;
Department of Engineering, University of Naples Parthenope, 80143 Naples, Italy;
[email protected]

Dr. Roberto Nardone
Dr. Giovanni Paragliola
Dr. Carmelo Mineo
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. Electronics 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 2400 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

  • IoT-enabled structural health monitoring
  • data fusion in infrastructure management
  • smart infrastructure security systems
  • predictive maintenance models
  • cyber-physical system resilience

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.

Further information on MDPI's Special Issue polices can be found here.

Published Papers (1 paper)

Order results
Result details
Select all
Export citation of selected articles as:

Research

16 pages, 7216 KiB  
Article
Humidity Diffusion Process Analysis and Life Prediction of a VSC-HVDC Control Protection Device Based on a Finite Element Simulation Method
by Changgeng Li, Yutao Cheng and Xiaochao Hou
Electronics 2024, 13(15), 2888; https://doi.org/10.3390/electronics13152888 - 23 Jul 2024
Viewed by 933
Abstract
Voltage Source Converter-based High-Voltage Direct Current Transmission (VSC-HVDC) is essential for integrating renewable energy sources and facilitating inter-regional power transmission. This study evaluates the reliability of control and protection devices within these systems, which are crucial for the stable operation of power grids. [...] Read more.
Voltage Source Converter-based High-Voltage Direct Current Transmission (VSC-HVDC) is essential for integrating renewable energy sources and facilitating inter-regional power transmission. This study evaluates the reliability of control and protection devices within these systems, which are crucial for the stable operation of power grids. Humidity significantly affects both the operational conditions and lifespan of these devices. Previous studies, reliant on extensive full-condition fatigue testing, have lacked effective test models and detailed analyses of mechanisms. To address this gap, a humidity diffusion model was developed to comprehensively investigate moisture diffusion mechanisms. Using the insights gained, the Hallberg–Peck model was applied to predict the lifespan of these devices, quantitatively assessing how changes in humidity affect their reliability. This approach employs a stringent failure criterion, leading to a conservative predicted lifespan. This method achieved a prediction accuracy of 85.648% compared to the benchmarks in GB/T 2423.50-2012, validating the accuracy of our model and the effectiveness of our simulation technology under stringent conditions. This research provides vital theoretical data and serves as an essential tool for guiding the precise maintenance of equipment in varying environmental humidity levels. Full article
(This article belongs to the Special Issue Advanced Monitoring of Smart Critical Infrastructures)
Show Figures

Figure 1

Back to TopTop