Mechanics 4.0: Artificial Intelligence for the Analysis of Mechanical Systems
Handbook Industry 4.0: Law, Technology, Society, Page: 455-470
2022
- 1Citations
- 27Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Book Chapter Description
The digitization of industry in the context of “Industry 4.0” comprises four pillars: networking, information transparency, decentralized decision-making, and technical assistance (Hermann et al. 2016). In particular, the ability to make decisions decentrally—based on relevant information—and the provision of informed digital assistance systems require methods for analyzing physical systems. The analysis of physical systems in industry is a classical application area of mechanics and requires accurate measurements, descriptions, and interpretations of the states of mechanical systems. A recent survey underscores the need for necessary engineering skills, particularly technical mechanics when working on Industry 4.0 projects (Heidling et al. 2019).
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85160750298&origin=inward; http://dx.doi.org/10.1007/978-3-662-64448-5_23; https://link.springer.com/10.1007/978-3-662-64448-5_23; https://dx.doi.org/10.1007/978-3-662-64448-5_23; https://link.springer.com/chapter/10.1007/978-3-662-64448-5_23
Springer Science and Business Media LLC
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