Application of Principal Component Analysis (PCA) and regression with lagged variables to identify the effect of blower speed and feed rate in pneumatic conveying
Premarathna, Chanaka Prasad, Kaur, Baldeep ORCID: 0000-0002-1762-3058 , Salehi Kahrizsangi, Hamid ORCID: 0000-0002-2516-6619 , Ellis, Richard and Bradley, Michael S.A. (2024) Application of Principal Component Analysis (PCA) and regression with lagged variables to identify the effect of blower speed and feed rate in pneumatic conveying. In: CHoPS 2024: 11th International Conference on Conveying and Handling of Particulate Solids, 2nd - 4th Sep., 2024, Edinburgh.
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48383 KAUR_Application_of_Principal_Component_Analysis_PCA_And_Regression_With_Lagged_Variables_To_Identify_The_Effect_Of_Blower_Speed_And_Feed_Rate_In_Pneumatic_Conveying_(EXTENDED ABSTRACT)_2024.pdf - Published Version Download (361kB) | Preview |
Abstract
This study investigates the dynamic behaviour of particle velocity in a pneumatic conveying system for bird food, focusing on the effects of blower voltage and feed rate on system performance and stability. Particle velocities were recorded under blower input voltages ranging from 4.5 to 7 V (2310 to 3260 rpm) and feed rates from 30% to 70%, using a rotary feeder. Principal Component Analysis (PCA) revealed that the first two components accounted for most of the variance in particle velocity, indicating a significant but not exclusive impact of the studied variables. Autocorrelation analysis of detrended particle velocity showed substantial system inertia, with a decay rate of -0.046 over five 1-second intervals, highlighting the influence of historical conditions on current dynamics. This insight is crucial for refining control algorithms to manage temporal dependencies within the system. Cross-correlation analysis identified a time-lagged response in particle velocity following adjustments in blower voltage
Item Type: | Conference or Conference Paper (Paper) |
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Uncontrolled Keywords: | conveying, closed-loop control, PCA |
Subjects: | Q Science > Q Science (General) T Technology > T Technology (General) |
Faculty / School / Research Centre / Research Group: | Faculty of Engineering & Science Faculty of Engineering & Science > School of Engineering (ENG) Faculty of Engineering & Science > Wolfson Centre for Bulk Solids Handling Technology |
Last Modified: | 23 Oct 2024 09:10 |
URI: | http://gala.gre.ac.uk/id/eprint/48383 |
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