Soft Sensor Modeling of Key Effluent Parameters in Wastewater Treatment Process Based on SAE-NN
Joint Authors
Osman, Yousuf Babiker M.
Li, Wei
Source
Journal of Control Science and Engineering
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-05-29
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Electronic engineering
Information Technology and Computer Science
Abstract EN
Real-time measurements of key effluent parameters play a highly crucial role in wastewater treatment.
In this research work, we propose a soft sensor model based on deep learning which combines stacked autoencoders with neural network (SAE-NN).
Firstly, based on experimental data, the secondary variables (easy-to-measure) which have a strong correlation with the biochemical oxygen demand (BOD5) are chosen as model inputs.
Moreover, stochastic gradient descent (SGD) is used to train each layer of SAE to optimize weight parameters, while a strategy of genetic algorithms to identify the number of neurons in each hidden layer is developed.
A soft sensor model is studied to predict the BOD5 in a wastewater treatment plant to evaluate the proposed approach.
Interestingly, the experimental results show that the proposed SAE-NN-based soft sensor has a better performance in prediction than the current common methods.
American Psychological Association (APA)
Osman, Yousuf Babiker M.& Li, Wei. 2020. Soft Sensor Modeling of Key Effluent Parameters in Wastewater Treatment Process Based on SAE-NN. Journal of Control Science and Engineering،Vol. 2020, no. 2020, pp.1-9.
https://search.emarefa.net/detail/BIM-1182694
Modern Language Association (MLA)
Osman, Yousuf Babiker M.& Li, Wei. Soft Sensor Modeling of Key Effluent Parameters in Wastewater Treatment Process Based on SAE-NN. Journal of Control Science and Engineering No. 2020 (2020), pp.1-9.
https://search.emarefa.net/detail/BIM-1182694
American Medical Association (AMA)
Osman, Yousuf Babiker M.& Li, Wei. Soft Sensor Modeling of Key Effluent Parameters in Wastewater Treatment Process Based on SAE-NN. Journal of Control Science and Engineering. 2020. Vol. 2020, no. 2020, pp.1-9.
https://search.emarefa.net/detail/BIM-1182694
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1182694