New Trends and Innovations in Reliability and Resilience for Emerging Complex Systems
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Electrical, Electronics and Communications Engineering".
Deadline for manuscript submissions: 20 June 2025 | Viewed by 207
Special Issue Editors
Interests: smart maintenance; reliability modeling and simulation; prognostic and health management
Special Issues, Collections and Topics in MDPI journals
Interests: prognostic and health management; battery management system; fault diagnosis and prognosis
Special Issues, Collections and Topics in MDPI journals
Interests: quality management; reliability modeling; random optimization and quality assurance strategy
Special Issue Information
Dear Colleagues,
In the last decade, with the vigorous development of artificial intelligence (AI) technology, some emerging complex systems (multimodal traffic, urban air mobility, smart infrastructure, etc.) have influenced our daily lives and brought new economic growth points to society. As emerging complex systems continue to face various challenges, including unexpected disruptions, natural disasters, and unforeseen events, the concept of sustainability has become increasingly important, especially for reliability and resilience. However, the problems of emerging complex systems are inherently complex due to various factors, such as safety requirements, failure uncertainty, and autonomous and intelligent behavior. This complexity makes precise modeling and optimization highly challenging, often necessitating some new technologies and solutions.
This Special Issue will provide an interdisciplinary platform for researchers and experts from academia and industry to explore the latest trends and innovations in the fields of reliability, resilience, maintenance, scheduling and planning to address challenges in emerging complex systems. With a focus on the integration of AI methodologies into emerging complex systems, this Special Issue will encompass a wide range of topics, including but not limited to the following:
- Reliability/resilience assessment and modeling of emerging complex systems;
- Failure diagnosis, prediction and prevention techniques for autonomous systems;
- Advanced maintenance techniques for emerging complex systems;
- AI-enabled reliability/resilience solutions for emerging complex systems;
- Big data analytics in emerging complex systems;
- Sustainable practices and green technologies in enhancing the resilience of emerging complex systems;
- Risk management and decision-making frameworks for autonomous and intelligent systems;
- Resilience planning for smart cities;
- Reliability and resilience trade-offs in the design of emerging complex systems;
- Robustness of cyber–physical systems against cybersecurity threats;
- Human factors affecting the reliability and resilience of emerging complex systems.
Dr. Dongming Fan
Dr. Heng Zhang
Dr. Nan Zhang
Guest Editors
Dr. Yixin Zhao
Guest Editor Assistant
Manuscript Submission Information
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Keywords
- emerging complex systems
- reliability
- resilience
- PHM
- AI technology
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