Mathematical Models for Fault Detection and Diagnosis
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "E2: Control Theory and Mechanics".
Deadline for manuscript submissions: 28 February 2026 | Viewed by 1624
Special Issue Editor
Special Issue Information
Dear Colleagues,
In numerous engineering and technological systems, the capability to detect and diagnose faults is of paramount importance for ensuring reliability, safety, and optimal performance. Mathematical modeling plays a pivotal role in this context, as it provides a rigorous framework for analyzing and understanding the underlying mechanisms of fault occurrence and propagation. This Special Issue focuses on the development and application of mathematical models for fault detection and diagnosis, with an emphasis on innovative approaches and computational methods.
The field of fault detection and diagnosis encompasses a wide range of application areas, including but not limited to mechanical systems, electrical networks, chemical processes, aerospace engineering, and cyber-physical systems. In each of these domains, specific mathematical models are required to capture the complex dynamics and interactions that lead to faults. These models may involve linear and nonlinear systems of equations, stochastic processes, hybrid systems, and machine learning techniques.
The theoretical and computational analysis of these mathematical models is a critical step in the design of effective fault detection and diagnosis algorithms. By leveraging the unique properties of the underlying models, researchers can devise efficient strategies for monitoring system behavior, identifying deviations from normal operation, and pinpointing the root causes of faults. This Special Issue aims to collect papers that showcase the latest advancements in this field, with a particular focus on the algebraic, analytic, and statistical aspects of fault detection and diagnosis models.
Contributions are encouraged from researchers working on the development of novel mathematical models, the analysis of their theoretical properties, and the design of efficient computational methods for fault detection and diagnosis. Papers that demonstrate the practical applicability of these models in real-world systems and that provide insights into the challenges and opportunities in this research area are particularly welcome. This Special Issue seeks to foster interdisciplinary collaboration and to advance the state of the art in mathematical modeling for fault detection and diagnosis.
Dr. Jinsong Yang
Guest Editor
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. Mathematics 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
- mathematical models
- fault detection
- diagnosis
- computational methods
- system reliability
- failure analysis
- structural health monitoring
- damage detection
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 policies can be found here.
