Statistical Process Monitoring Using Advanced Data-Driven and Deep Learning Approaches: Theory and Practical Applications
by: Fouzi Harrou ,Ying Sun ,Amanda S. Hering ,Muddu Madakyaru ,abdelkader Dairi
Print Length 页数: 328 pages
ISBN-10: 0128193654
ISBN-13: 9780128193655
Product Dimensions1.75 x 22.86 cm
Publisher finelybook 出版社: Elsevier (18 July 2020)
Language 语言: English
Book Description
Statistical Process Monitoring Using Advanced Data-Driven and Deep Learning Approaches tackles multivariate challenges in process monitoring by: merging the advantages of univariate and traditional multivariate techniques to enhance their performance and widen their practical applicability. The book proceeds with merging the desirable properties of shallow learning approaches – such as a one-class support vector machine and k-nearest neighbours and unsupervised deep learning approaches – to develop more sophisticated and efficient monitoring techniques.
Finally,the developed approaches are applied to monitor many processes,such as waste-water treatment plants,detection of obstacles in driving environments for autonomous robots and vehicles,robot swarm,chemical processes (continuous stirred tank reactor,plug flow rector,and distillation columns),ozone pollution,road traffic congestion,and solar photovoltaic systems.
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