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Can I read A digital twin to train deep reinforcement learning agent for smart manufacturing plants: Environment, interfaces and intelligence on EtoBox?

A digital twin to train deep reinforcement learning agent for smart manufacturing plants: Environment, interfaces and intelligence by Kaishu Xia; Christopher Sacco; Max Kirkpatrick; Clint Saidy; Lam Nguyen; Anil Kircaliali; Ramy Harik is a Engineering article available to read on EtoBox.

What is A digital twin to train deep reinforcement learning agent for smart manufacturing plants: Environment, interfaces and intelligence about?

Filling the gaps between virtual and physical systems will open new doors in Smart Manufacturing. This work proposes a data-driven approach to utilize digital transformation methods to automate smart manufacturing systems. This is fundamentally enabled by using a digital twin to represent manufacturing cells, simulate system behaviors, predict process faults, and adaptively control manipulated variables. First, the manufacturing cell is accommodated to environments such as computer-aided applications, industrial Product Lifecycle Management solutions, and control platforms for automation systems. Second, a network of interfaces between the environments is designed and implemented to enable communication between the digital world and physical manufacturing plant, so that near-synchronous controls can be achieved. Third, capabilities of some members in the family of Deep Reinforcement Learning (DRL) are discussed with manufacturing features within the context of Smart Manufacturing. Trained results for Deep Q Learning algorithms are finally presented in this work as a case study to incorporate DRL-based artificial intelligence to the industrial control process. As a result, developed

Who reads A digital twin to train deep reinforcement learning agent for smart manufacturing plants: Environment, interfaces and intelligence?

It is typically read by researchers, students, and practitioners in Engineering.

Author
Kaishu Xia; Christopher Sacco; Max Kirkpatrick; Clint Saidy; Lam Nguyen; Anil Kircaliali; Ramy Harik
Publisher
Elsevier BV
Published
2021
Language
EN
Field
Engineering (Physical Sciences)

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