University of Oulu

Some data-driven methods in process analysis and control

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Author: Mäkynen, Riku1
Organizations: 1University of Oulu, Faculty of Technology, Process Engineering
Format: ebook
Version: published version
Access: open
Online Access: PDF Full Text (PDF, )
Persistent link: http://urn.fi/URN:NBN:fi:oulu-201808222647
Language: English
Published: Oulu : R. Mäkynen, 2018
Publish Date: 2018-09-06
Thesis type: Bachelor's thesis
Description:
Data-driven methods such as artificial neural networks have already been used in the past to solve many different problems such as medical diagnoses or self-driving cars and thus the material shown here can be of use in many different fields of science. a Few studies that are related to data-driven methods in the field of process engineering will be explored in this thesis. The most important finding related to neural network predictive controller was its better performance in the control of a heat exchanger when compared to several other controller types. The benefits of this approach were both energy savings and faster control. Another finding related to Evolutionary Neural Networks (EvoNNs) was the fact that it can be used to filter out the noise that is contained in the measurement data.
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Copyright information: © Riku Mäkynen, 2018. This publication is copyrighted. You may download, display and print it for your own personal use. Commercial use is prohibited.