Reliability and Resilience Analysis of UAV Systems

Dear Colleagues,

Unmanned aerial vehicles (UAVs) have been widely employed in civil and military fields owing to their agility and low cost, with the benefit of enabling dull, dirty, and dangerous missions to be conducted without posing risks to humans. However, a UAV swarm is typically employed in complex environments, where unpredictable threats and inevitable disruptive events may occur. Researchers have utilized reliability and resilience as key indexes to evaluate the performance of the system during its design, operation and maintenance. Resilience is the expansion and extension of reliability, and it provides a new method by which to approach state transition analysis and the optimal design and collapse prediction of complex systems, which enhances the ability of systems to resist uncertain threats and bounce back from disruptive events.

This Special Issue focuses on reliability and resilience analyses of UAV systems.

In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:

•  Reliability analysis of UAV system/swarm
• Resilience analysis of UAV system/swarm
• Reliability model and evaluation of UAV system/swarm
• Resilience model and evaluation of UAV system/swarm
• Network approach for reliability analysis of complex systems
• Network approach for rsilience analysis of complex systems
• Bianry network relialibty analysis
• Bianry network resilience analysis
• Mulistate network relialibty analysis
• Mulistate network resilience analysis
• Reliability analysis of infrastructures
• Resilience analysis of infrastructures
• Reliability analysis of combat system
• Resilience analysis of combat system
• Reliability analysis of complex mechtronic system
• Resilience analysis of complex mechtronic system
• Reliability estimation of electro-mechanical system
• Fault diagnosis of industral robot
• Competing risks modeling
• Electro-mechanical modeling

I/We look forward to receiving your contributions.

Technical Program Committee Member:

Name: Dr. Tao Liu
Email: [email protected]
Homepage: http://sma.xhu.edu.cn/04/3d/c4919a197693/page.htm
Affiliation: School of Mechanical Engineering, Xihua University, Chengdu 410000, China

Dr. Guanghan Bai
Dr. Jia Wang
Guest Editors

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• system reliability
• system resilience
• network reliability
• network resilience
• multistate networks
• degradation modeling
• unmanned swarm
• unmanned system
• infrastructure
• industrial robot