Tail Gas Quality Warning System in a Sulfur Recovery Unit based on H2S and SO2 Concentration Soft Sensor utilizing Multi-State-Dependent Modeling Method
The design and development of data-driven soft sensors is important to predict the concentration of perilous pollutants in industry effluents to protect environmental health. The aim of this research is to design a tail gas quality warning system in the sulfur recovery unit (SRU) based on H2S and SO...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
University of Sistan and Baluchestan
2023-12-01
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| Series: | International Journal of Industrial Electronics, Control and Optimization |
| Subjects: | |
| Online Access: | https://ieco.usb.ac.ir/article_8028_4dd19a474c304b42e724082bd0ce6bc9.pdf |