Intelligent Algorithms and Signal Processing Techniques for Fault Diagnosis in Mechanical and Electrical Systems
A special issue of Algorithms (ISSN 1999-4893). This special issue belongs to the section "Algorithms and Mathematical Models for Computer-Assisted Diagnostic Systems".
Deadline for manuscript submissions: 30 September 2026 | Viewed by 35
Special Issue Editors
Interests: signal processing; machine learning; deep learning; fault diagnosis; electric machines; structural health monitoring; condition monitoring; bio-inspired algorithms; optimization techniques; cyber–physical systems
Special Issues, Collections and Topics in MDPI journals
Interests: automatic control; power quality; signal processing; electrical machines; fault diagnosis; smart grids; condition monitoring; renewable energy systems
Interests: model-based and data-driven fault detection; diagnostics; prognosis; multi-agent systems (satellites, drones, vehicles, etc.); machine learning; intelligent systems; intelligent manufacturing; Industry 5.0; systems and control theory; linear and nonlinear controller/observer design; avionics; sensors; measurement
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
In recent years, the growing complexity of mechanical and electrical systems has highlighted the critical need for accurate and efficient fault diagnosis methods. Unexpected failures in such systems can lead to significant economic losses, safety hazards, and reduced operational reliability. Consequently, integrating intelligent algorithms and advanced signal processing techniques has emerged as a powerful approach for addressing these challenges.
This Special Issue will bring together cutting-edge research contributions that explore innovative algorithmic approaches, such as machine learning, optimization, evolutionary computation, and bio-inspired methods, combined with signal processing techniques for analyzing vibration, acoustic, electrical, and other relevant signals. These methods are increasingly applied to early fault detection, condition monitoring, and predictive maintenance across varied domains, including industrial machinery, electrical systems (including renewable energy sources), electrical machines, cyber–physical systems, etc.
We welcome high-quality submissions presenting original research, comprehensive reviews, and novel applications of intelligent algorithms and signal processing for fault diagnosis. Both theoretical developments and practical implementations are of interest. Contributions incorporating modern technologies, such as the Internet of Things (IoT), edge computing, digital twins, and embedded systems, to enhance scalability, connectivity, and real-time performance are especially encouraged. Studies emphasizing noise robustness, interpretability, and hardware–software integration are also welcome.
Dr. Martin Valtierra-Rodriguez
Dr. Maximiliano Bueno-Lopez
Dr. Afshin Rahimi
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. Algorithms is an international peer-reviewed open access monthly 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 1800 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 diagnosis
- intelligent algorithms
- signal processing
- condition monitoring
- predictive maintenance
- electrical systems
- renewable energy systems
- electrical machines
- mechanical systems
- industrial machinery
- cyber–physical systems
- optimization techniques
- machine learning
- bio-inspired computation
- Internet of things (IoT)
- edge computing
- digital twins
- embedded systems
- noise robustness
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