Online Monitoring for Industrial Processes Quality Control Using Time Varying Parameter Model
Publish Year: 1397
نوع سند: مقاله ژورنالی
زبان: English
View: 340
This Paper With 9 Page And PDF Format Ready To Download
- Certificate
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
JR_IJE-31-4_002
تاریخ نمایه سازی: 10 آذر 1398
Abstract:
A novel data-driven soft sensor is designed for online product quality prediction and control performance modification in industrial units. A combined approach of time variable parameter (TVP) model, dynamic auto regressive exogenous variable (DARX) algorithm, nonlinear correlation analysis and criterion-based elimination method is introduced in this work. The soft sensor performance validation is tested by data set of an industrial SRU. The comparative study indicated the result associated with more robust soft sensor and more appropriate performance index values compared to other methods for SRU soft sensor design in diverse achievements. Due to high prediction accuracy, the low complication of the model and also saving of time, this technique can be very noticeable in industrial processes control.
Keywords:
Authors
Roja Parvizi Moghadam
Chemical Engineering, University of Sistan and Baluchestan, Zahedan