اخبار و اعلانات

دانشگاه سیستان و بلوچستان

آمار

تعداد نشریات25
تعداد شماره‌ها487
تعداد مقالات5,066
تعداد مشاهده مقاله7,361,411
تعداد دریافت فایل اصل مقاله4,959,382
Bidar, Bahareh, Khalilipour, Mir Mohammad, Shahraki, Farhad, Sadeghi, Jafar. (1399). Soft sensor development for monitoring ASTM-D86 Index: Effect of feed flow rate change. نشریه علمی دانشگاه سیستان و بلوچستان, (), -. doi: 10.22111/ieco.2020.34314.1275
Bahareh Bidar; Mir Mohammad Khalilipour; Farhad Shahraki; Jafar Sadeghi. "Soft sensor development for monitoring ASTM-D86 Index: Effect of feed flow rate change". نشریه علمی دانشگاه سیستان و بلوچستان, , , 1399, -. doi: 10.22111/ieco.2020.34314.1275
Bidar, Bahareh, Khalilipour, Mir Mohammad, Shahraki, Farhad, Sadeghi, Jafar. (1399). 'Soft sensor development for monitoring ASTM-D86 Index: Effect of feed flow rate change', نشریه علمی دانشگاه سیستان و بلوچستان, (), pp. -. doi: 10.22111/ieco.2020.34314.1275
Bidar, Bahareh, Khalilipour, Mir Mohammad, Shahraki, Farhad, Sadeghi, Jafar. Soft sensor development for monitoring ASTM-D86 Index: Effect of feed flow rate change. نشریه علمی دانشگاه سیستان و بلوچستان, 1399; (): -. doi: 10.22111/ieco.2020.34314.1275

Soft sensor development for monitoring ASTM-D86 Index: Effect of feed flow rate change

International Journal of Industrial Electronics Control and Optimization
مقالات آماده انتشار، پذیرفته شده، انتشار آنلاین از تاریخ 24 دی 1399  XML اصل مقاله (564.38 K)
نوع مقاله: Research Articles
شناسه دیجیتال (DOI): 10.22111/ieco.2020.34314.1275
نویسندگان
Bahareh Bidar email orcid 1؛ Mir Mohammad Khalilipourorcid 2؛ Farhad Shahraki3؛ Jafar Sadeghi4
1Center for Process Integration and Control (CPIC), Department of Chemical Engineering, University of Sistan and Baluchestan, Zahedan, Iran
2Center for Process Integration and Control (CPIC) Department of Chemical Engineering University of Sistan and Baluchestan
3Center of Process Integration and Control (CPIC) Department of Chemical Engineering University of Sistan and Baluchestan Zahedan, PoBox: 98135-987 Iran
4Center of Process Integration and Control (CPIC), Department of Chemical Engineering, University of Sistan and Baluchestan, Zahedan, PoBox: 98135-987 Iran
چکیده
The changes in the crude oil flow rate to an atmospheric distillation unit can influence the quality of the products. This paper presents a modification method for soft sensing model including an update term, which makes it compatible with industrial variations. A modified soft sensing structure is adopted using lookup table (LUT) method where steady-state soft sensing models are performed. The steady-state soft sensing models is proposed based on local instrumental variable (LIV) technique for an industrial atmospheric distillation unit (ADU) at Shiraz refinery, Iran. The LIV-based soft sensors are utilized tray temperature measurements to monitor ASTM-D86 index of side products for nominal flow rate (60,000bbl/day). Lookup tables have been developed based on the difference between the predicted values of ASTM-D86 index and corresponding simulation values to make update terms in different feed flow rates. The results present improvement in the predictions of LIV-based soft sensors as well as acceptable control performance in feed flow rate variations. The comparison of soft sensing results with/without lookup tables demonstrates that the proposed update term helps to predict product quality more precisely and is suitable for advanced monitoring scheme due to no complexity and low computational time.
کلیدواژه‌ها
Data-driven soft sensor؛ Local instrumental variable (LIV)؛ ASTM-D86 index؛ Crude oil distillation column؛ Lookup table method
آمار
تعداد مشاهده مقاله: 49
تعداد دریافت فایل اصل مقاله: 34


Contact Us | Help & Support | Site Map

Journal Management System. Designed by sinaweb.