Abstract
The themes of Industry 4.0 (the fourth industrial revolution) distinguishing from the previous three are machine to machine communication (M2M), Internet of Things (IoT) [1, 2], cloud computing [3, 4] and artificial intelligence (AI) [5]. Behind these keywords, data is as important as blood for bones and muscles. At present, decentralized control systems and large databases are becoming a standard in enterprises, where terabytes of historical operating data in time series are stored and analyzed [6, 7]. A large number of applications in the era of Industry 4.0, such as equipment performance monitoring [8], predicting [9, 10], characteristic analysis [11], status warning [12] and fault diagnosis [13,14,15], have been developed based on the operation data.
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This work was financially supported by Zhejiang Major Science and Technology Project (No. 2017C01082).
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Shao, Z., Si, F., Xu, Z., Guo, D. (2021). Homogenization Algorithm Based on Incremental L2-Discrepancy Filtering for Data-Driven Modelling. In: Dingli, A., Haddod, F., Klüver, C. (eds) Artificial Intelligence in Industry 4.0. Studies in Computational Intelligence, vol 928. Springer, Cham. https://doi.org/10.1007/978-3-030-61045-6_6
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