Abstract
As the integration of cyber and physical components becomes increasingly prevalent in modern systems, ensuring the dependability of Cyber-Physical Systems (CPS) has emerged as a critical research area. The present paper aims to present a comprehensive analysis of the recent advances in the field of dependable CPS. Firstly, we present an analysis on the evolution of the published papers in the past years and introduce the concepts of dependability and CPSs in the context of Industry 4.0. Secondly, some strategies and challenges that have been encountered in the recent literature for enhancing the dependability of CPS are also presented. Finally, two case studies that highlight the interdependencies between the concepts of dependability and CPS are reviewed. The first one presents the dependability of an object identification system that relies on radio frequency identifier, which can be used in medical services. The second case study shows various techniques for predicting the remaining useful life of a turbofan jet engine using Machine Learning and Deep Learning techniques.
Published Version
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