Progress in Design and Optimization of Fault Diagnosis Modelling
A special issue of Processes (ISSN 2227-9717). This special issue belongs to the section "Automation Control Systems".
Deadline for manuscript submissions: 25 June 2025 | Viewed by 111
Special Issue Editors
Interests: mechanism analysis and data-driven fault diagnosis; modeling; control and optimization of complex industrial processes
Interests: fault detectionand diagnosis; fault tolerant control; security control of cyber-physical systems
Interests: data-driven fault diagnosis and its application in oil industry; intelligent oil lifting technology; sensoring device development for oil industry
Interests: industrial data intelligence; fault diagnosis
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
With the increasing complexity of modern engineering systems, the reliability, maintainability, and safety of such systems are increasingly required. Researchers continue to dedicate themselves to the theoretical and technical research that is necessary and critical to reduce the occurrence of catastrophic accidents, environmental pollution, personal and property damage, and to improve economic benefits.
This Special Issue on "Progress in Design and Optimization of Fault Diagnosis Modelling" seeks high-quality works focusing on fault diagnosis, process supervision, safety monitoring, sustainability, and health-aware and fault-tolerant control, as well as state-of-the-art applications and emerging research directions. Topics include, but are not limited to, the following:
- Active Fault Detection and Identification (FDI) and Fault Tolerant Control (FTC);
- Analysis of reliability, safety, and security;
- Artificial intelligence and data driven FDI and FTC methods;
- Cybersecurity and cyberphysical systems;
- FDI and FTC for hybrid, discrete-event, and fractional order systems;
- Health monitoring and maintenance engineering;
- Model-based FDI and FTC for linear, nonlinear, and hybrid systems;
- Predictive and preventive maintenance and prognostics.
Prof. Dr. Xiaoyong Gao
Prof. Dr. Maoyin Chen
Prof. Dr. Chaodong Tan
Prof. Dr. Yi Liu
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. Processes 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 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
- model-based diagnosis
- data-driven diagnosis methods
- process supervision
- active fault diagnosis methods
- statistical methods for fault diagnosis
- soft computing methods for fault diagnosis
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