Fault Diagnosis Process and Evaluation in Systems Engineering

A special issue of Processes (ISSN 2227-9717). This special issue belongs to the section "Automation Control Systems".

Deadline for manuscript submissions: closed (20 April 2024) | Viewed by 2151

Special Issue Editors


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Guest Editor
School of Mechanical Engineering, Xi’an Jiaotong University, Xi’an, China
Interests: intelligent equipment; online monitoring; testing equipment; bearing rotor system; intelligent diagnosis and evaluation
School of Mechanical Engineering, Xi’an Jiaotong University, Xi’an, China
Interests: fault diagnosis of machinery; degradation modeling; remaining useful life prediction; intelligent maintenance
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
School of Mechanical Engineering and Mechanics, Ningbo University, Ningbo, China
Interests: mechanical fault diagnosis; weak signal detection; nonlinear dynamics; AI-enabled fault diagnosis and intelligent maintenance
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

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.

Keywords

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

Published Papers (2 papers)

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Research

21 pages, 5915 KiB  
Article
YOLOv8-LMG: An Improved Bearing Defect Detection Algorithm Based on YOLOv8
by Minggao Liu, Ming Zhang, Xinlan Chen, Chunting Zheng and Haifeng Wang
Processes 2024, 12(5), 930; https://doi.org/10.3390/pr12050930 - 2 May 2024
Viewed by 985
Abstract
In industrial manufacturing, bearings are crucial for machinery stability and safety. Undetected wear or cracks can lead to severe operational and financial setbacks. Thus, accurately identifying bearing defects is essential for maintaining production safety and equipment reliability. This research introduces an improved bearing [...] Read more.
In industrial manufacturing, bearings are crucial for machinery stability and safety. Undetected wear or cracks can lead to severe operational and financial setbacks. Thus, accurately identifying bearing defects is essential for maintaining production safety and equipment reliability. This research introduces an improved bearing defect detection model, YOLOv8-LMG, which is based on the YOLOv8n framework and incorporates four innovative technologies: the VanillaNet backbone network, the Lion optimizer, the CFP-EVC module, and the Shape-IoU loss function. These enhancements significantly increase detection efficiency and accuracy. YOLOv8-LMG achieves a [email protected] of 86.5% and a [email protected]–0.95 of 57.0% on the test dataset, surpassing the original YOLOv8n model while maintaining low computational complexity. Experimental results reveal that the YOLOv8-LMG model boosts accuracy and efficiency in bearing defect detection, showcasing its significant potential and practical value in advancing industrial inspection technologies. Full article
(This article belongs to the Special Issue Fault Diagnosis Process and Evaluation in Systems Engineering)
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14 pages, 1584 KiB  
Article
Strategies for Software and Hardware Compatibility Testing in Industrial Controllers
by Marcus Rothhaupt, Lucas Vogt and Leon Urbas
Processes 2024, 12(3), 580; https://doi.org/10.3390/pr12030580 - 14 Mar 2024
Viewed by 767
Abstract
Mass customization, small batch sizes, high variability of product types and a changing product portfolio during the life cycle of an industrial plant are current trends in the industry. Due to an increasing decoupling of the development of software and hardware components in [...] Read more.
Mass customization, small batch sizes, high variability of product types and a changing product portfolio during the life cycle of an industrial plant are current trends in the industry. Due to an increasing decoupling of the development of software and hardware components in an industrial context, compatibility problems within industrial control systems arise more and more frequently. In this publication, a strategy concept for compatibility testing is derived and discussed by means of a literature review and applied research. This four-phase strategy concept identifies incompatibilities between software and hardware components in the industrial control environment and enables test engineers to detect problems at an early stage. By automating the compatibility test on an external I-PC, the test can be run both when new software is installed on the industrial controller and when the controller is restarted. Thus, changes to the components are constantly detected and incompatibilities are avoided. Furthermore, early incompatibility detection can ensure that a system remains permanently operational. Based on a discussion, additional strategies are identified to consolidate the robustness and applicability of the presented concept. Full article
(This article belongs to the Special Issue Fault Diagnosis Process and Evaluation in Systems Engineering)
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