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Twin mirror file size6/28/2023 ![]() The paper looks at the concept of DT since its inception to its predicted future to realize the value it can bring to certain sectors. This paper intends to consolidate the different types of DT and different definitions of DT throughout the literature for easy identification of DT from the rest of the complimentary terms such as ‘product avatar’, ‘digital thread’, ‘digital model’, and ‘digital shadow’. Another problem that has arisen due to the growing popularity of DT is a lack of consensus on the description of DT as well as so many different types of DT, which adds to the confusion. A sudden influx in the number of publications related to ‘Digital Twin’ has led to confusion between different terminologies related to the digitalization of industries. These systems generate considerable amounts of data useful for several applications such as improving performance, predictive maintenance, training, etc. The advent of Industry 4.0 has brought complex industrial systems that are more autonomous, smart, and highly interconnected. Its implementation is expected to grow exponentially in the coming decades. Application of DT includes real-time monitoring, designing/planning, optimization, maintenance, remote access, etc. ![]() Conceptually, a DT mimics the state of its physical twin in real time and vice versa. Digital Twin (DT) refers to the virtual copy or model of any physical entity (physical twin) both of which are interconnected via exchange of data in real time.
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