Advances in Fault Diagnosis and Condition Monitoring of Intelligent Transportation Systems
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Systems & Control Engineering".
Deadline for manuscript submissions: 31 October 2025 | Viewed by 522
Special Issue Editors
Interests: fault diagnosis; structural health monitoring; vibration, acoustics and ultrasound techniques; advanced signal processing; data analytics; artificial intelligence-based applications in railway
Interests: vision computing; optical and visual inspection techniques; image processing and object detection; machine learning; artificial intelligence applications in railway
Interests: multimodal measurements and fusion; vision computing; infrared, laser and visual techniques; intelligent transportation systems; artificial intelligence applications in railway
Special Issue Information
Dear Colleagues,
Intelligent Transportation Systems (ITS), a backbone of global transportation, are developing rapidly and essential for fostering the economic prosperity and sustainability of modern societies. These systems encompass various operating modes, including automotive vehicles, railways (high-speed, freight, urban, and subway), aviation, and maritime transport.
Typically, the running safety of ITS suffers from potential hazards—both from the conditions of infrastructures and critical components of vehicles. This has attracted much attention in the research community in the past decade. With this, in order to ensure safe operation, a wide variety of sensing and measurement technologies have been utilized alongside advanced data analytics for fault diagnosis and predictive maintenance of vehicles and related civil infrastructures across different transportation domains.
This Special Issue, entitled “Advances in Fault Diagnosis and Condition Monitoring of Intelligent Transportation Systems”, aims to explore the latest research and state-of-the-art contributions in fault diagnosis, prognosis, defect detection, condition monitoring, and health assessment for infrastructures and key components of transportation systems. It seeks to provide solutions to difficulties in safety assurance and yield insights for making ITS more efficient, secure, reliable, and sustainable.
This Special Issue invites original research papers that address the challenges and opportunities in the above fields. The potential topics include but are not limited to the following:
- Advanced sensing and inspection technologies for intelligent transportation systems;
- Intelligent fault diagnosis and prognosis of transportation vehicles and infrastructures;
- Multimodal fusion and condition monitoring in transportation systems;
- Prognostic and health management of transportation assets;
- Predictive maintenance strategies for transportation system components;
- Signal/image processing and discriminative feature extraction in fault diagnosis;
- Application of data analytics and artificial intelligence in fault diagnosis;
- Structural health monitoring/management of vehicle or infrastructure components;
- Non-destructive testing and defect detection in transportation systems;
- Remaining-useful-life prediction of critical components.
Dr. Kangwei Wang
Dr. Jin Zhang
Prof. Dr. Cheng Wu
Guest Editors
Manuscript Submission Information
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Keywords
- fault diagnosis and prognosis
- advanced sensing and inspection technologies
- data analytics and artificial intelligence
- structural health monitoring/management
- predictive maintenance
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