Behrad Bagheri

TL;DR: A unified 5-level architecture is proposed as a guideline for implementation of Cyber-Physical Systems (CPS), within which information from all related perspectives is closely monitored and synchronized between the physical factory floor and the cyber computational space.

TL;DR: The globalization of the world’s economies is a major challenge to local industry and it is pushing the manufacturing sector to its next transformation -predictive manufacturing as discussed by the authors, and manufacturers need to embrace emerging technologies such as advanced analytics and cyber-physical system-based approaches, to improve their efficiency and productivity.

TL;DR: In this article, a case study for designing smart machines through the 5C CPS architecture is presented, which includes necessary steps to fully integrate cyber-physical systems in the manufacturing industry.

TL;DR: A unified framework for integrating CPS in manufacturing is presented, an adaptive clustering method as an advanced analytical method for interconnected systems is described and at the end of the paper a case study of self-aware machines by CPS integration is presented.

TL;DR: This paper introduces a fundamental framework and architecture for cyber manufacturing systems that intertwines industrial big data and smart analytics to discover and comprehend invisible issues for decision making.