Fault Diagnosis Process and Evaluation in Systems Engineering

Dear Colleagues,

Fault diagnosis plays a crucial role in ensuring system reliability, safety, and performance. With the increasing popularity of complex systems, fault diagnosis and evaluation have become important research topics in the field of systems engineering.

This Special Issue will cover a variety of systems and applications, including power, machinery, aerospace, chemical, and medical equipment. The articles will provide detailed introductions to fault diagnosis methods and technologies, including model-based methods, data-driven methods, and hybrid methods. Additionally, the articles will discuss the design and evaluation of fault diagnosis systems, including fault detection, isolation, and prediction, as well as system reliability and availability analysis.

Concurrently, this Special Issue will explore fault management and prevention strategies, including maintenance and repair strategies, and designing systems to improve reliability and durability. These discussions will help readers understand the importance and applications of fault diagnosis in systems engineering.

Overall, this Special Issue aims to provide readers with an in-depth understanding and practical guide to the fault diagnosis process and evaluation, aiming to help readers understand, design, and apply fault diagnosis systems to improve system reliability, safety, and performance.

This Special Issue aims to provide a platform for researchers and practitioners to share their recent advances, innovations, and challenges in fault diagnosis and evaluation. We welcome high-quality original research papers, review articles, and case studies that address the following topics but not limited to:

• Novel techniques for fault diagnosis and evaluation;
• Design and evaluation of fault diagnosis systems;
• Fault management and prevention strategies;
• Feature extraction and selection for fault detection and evaluation;
• Fault diagnosis and evaluation based on vibration analysis, acoustic emission, oil analysis, or the fusion of multi-source signals;
• Machine learning and artificial intelligence in fault diagnosis and evaluation;
• Case studies of real-world fault diagnosis and evaluation in engineering systems

Dr. Shaoke Wan
Dr. Naipeng Li
Dr. Zijian Qiao
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.

• fault diagnosis
• fault prediction
• system engineering
• feature extraction
• system security and reliability
• multi-source information fusion
• reliability analysis