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Online Monitoring-Based Prediction Model of Knitting Machine Productivity Cover

Online Monitoring-Based Prediction Model of Knitting Machine Productivity

Open Access
|Oct 2023

Figures & Tables

Fig. 1.

ESP32 MQTT Client Connection
ESP32 MQTT Client Connection

Fig. 2.

Online monitoring device deployment on the circular knitting machine Where: (1) The proximity sensor, (2) The yarn feeder sensor, and (3) IoT components
Online monitoring device deployment on the circular knitting machine Where: (1) The proximity sensor, (2) The yarn feeder sensor, and (3) IoT components

Fig. 3.

MQTT Broker interaction with the machine
MQTT Broker interaction with the machine

Fig. 4.

Pearson’s correlation matrix
Pearson’s correlation matrix

Fig. 5.

Relation between the production rate and measured parameters
Relation between the production rate and measured parameters

Fig. 6.

Regression hyper-plane for first prediction model
Regression hyper-plane for first prediction model

Fig. 7.

Regression hyper-plane for second prediction model
Regression hyper-plane for second prediction model

Statistical data of measured parameters and the production rate

 n1(rpm)n2(rpm)L(mm)P(kg/h)
Mean18.001174.632.116.26
Std2.82182.780.050.97
Min1.0021.000.680.11
25%19.001237.002.106.59
50%19.001238.002.106.59
75%19.001238.002.136.59
Max21.001362.002.687.26

Statistical measure of degrees of multicollinearity

Independent Parametern1&n2L&n1L&n2
Ri20.9800.0050.000
Tolerance0.0200.9951.000
VIF50.2511.0051.000

Results of prediction precision using (n1 and L)

MAEStandard deviation of MAEMAPEAccuracy
0.0290.0020.65%99.73%

Results of prediction precision using (n2 and L)

MAEStandard deviation of MAEMAPEAccuracy
000100%
DOI: https://doi.org/10.2478/ftee-2023-0035 | Journal eISSN: 2300-7354 | Journal ISSN: 1230-3666
Language: English
Page range: 46 - 52
Published on: Oct 18, 2023
Published by: Łukasiewicz Research Network, Institute of Biopolymers and Chemical Fibres
In partnership with: Paradigm Publishing Services
Publication frequency: Volume open

© 2023 Sherien Elkateb, Ahmed Métwalli, Abdelrahman Shendy, Karim Moussa, Ahmed E. B. Abu-Elanien, published by Łukasiewicz Research Network, Institute of Biopolymers and Chemical Fibres
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.