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Real-time safety assessment (RTSA) of dynamic systems is a critical task thathas significant implications for various fields such as industrial andtransportation applications, especially in non-stationary environments.However, the absence of a comprehensive review of real-time safety assessmentmethods in non-stationary environments impedes the progress and refinement ofrelated methods. In this paper, a review of methods and techniques for RTSAtasks in non-stationary environments is provided. Specifically, the backgroundand significance of RTSA approaches in non-stationary environments are firstlyhighlighted. We then present a problem description that covers the definition,classification, and main challenges. We review recent developments in relatedtechnologies such as online active learning, online semi-supervised learning,online transfer learning, and online anomaly detection. Finally, we discussfuture outlooks and potential directions for further research. Our review aimsto provide a comprehensive and up-to-date overview of real-time safetyassessment methods in non-stationary environments, which can serve as avaluable resource for researchers and practitioners in this field.

Real-time Safety Assessment of Dynamic Systems in Non-stationary Environments: A Review of Methods and Techniques