Artificial Intelligence in Fault Diagnosis and Signal Processing, 2nd Edition
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: 20 January 2026 | Viewed by 745
Special Issue Editors
Interests: condition monitoring; fault detection; artificial intelligence; deep learning; signal processing; electromechanical systems
Special Issues, Collections and Topics in MDPI journals
Interests: electric power systems; artificial intelligence; optimization algorithms; condition monitoring; power quality
Special Issue Information
Dear Colleagues,
The early detection and diagnosis of faults is essential in industrial processes since it can help avoid potentially irreparable damage to machinery, which could reduce the performance of the control system and process efficiency, ultimately resulting in a decrease in production. Additionally, in terms of industrial safety, timely fault detection and diagnosis can facilitate safer operations, reducing the risks to which plant workers are exposed. Therefore, detecting and diagnosing faults quickly and accurately can facilitate decision-making in a way that enables corrective actions to be taken to repair damaged components. In recent years, various machine fault detection techniques have emerged, and artificial intelligence and signal processing have become essential components thereof. However, this research field continues to generate new trends in terms of the methodologies related to multiple fault detection, novelty detection, data mining, development in hardware, etc.
The goal of this Special Issue is to bring together researchers and industrial practitioners to share their research findings and present ideas that are relevant to the field of fault diagnosis using artificial intelligence and signal processing.
Dr. Juan Jose Saucedo-Dorantes
Dr. David Alejandro Elvira-Ortiz
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. Applied Sciences 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
- neural networks
- machine learning
- sensors
- novelty detection
- data mining
- signal processing methods
- signal processing implementation
- FPGA
- HIL
- industrial applications
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.
- Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.
Further information on MDPI's Special Issue policies can be found here.
