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Identification and Analysis of Key Parameters for Yarn Breakage in Direct Twisting Machines under Factory Environment Based on Random Forest Model Cover

Identification and Analysis of Key Parameters for Yarn Breakage in Direct Twisting Machines under Factory Environment Based on Random Forest Model

Open Access
|Aug 2026

Figures & Tables

Figure 1

Schematic diagram of the twisting process.

Source: Fu Caizhi. The diagram is derived from the actual experimental direct twisting machines. References are made to Patents CN201110155789, CN202210228767, and CN202310542838.

Table 1

Definition of production variables of straight twisting machine.

Manufacturing parameterParameter interpretation
V 1 Represents the actual operating speed of the spindle during production, measured in revolutions per minute (rpm).
P 1 Represents the ratio of the actual amount of yarn wound during the winding process to the maximum capacity of the package.
R 1 Represents the type of yarn being processed.
R 2 Represents the set rotational speed of the spindle, typically measured in revolutions per minute (rpm).
R 3 Represents the number of twists per unit length of yarn, typically measured in twists per meter (T/m).
R 4 Represents the ratio of the yarn feeding speed by the overfeed roller to the winding speed. An overfeed ratio greater than 1 indicates that the feeding speed is higher than the winding speed, resulting in a relaxed state of the yarn during winding; an overfeed ratio less than 1 indicates that the feeding speed is lower than the winding speed, causing the yarn to be stretched.
R 5 and R 6 Inner yarn tension refers to the pulling force experienced by the yarn inside the direct twisting machine during processing, while outer yarn tension refers to the pulling force on the external yarn. Tension is typically measured in Newtons (N).
R 7 and R 8 Anti-stacking angle refers to the angle between the movement trajectory of the yarn guide and the axis of the yarn package during the winding process in the direct twisting machine. Anti-stacking angle 1 and anti-stacking angle 2 are typically two angle values set during winding stages or under different process requirements.
R 9 and R 10 Anti-stacking length refers to the distance moved by the yarn guide during one reciprocating motion cycle. Anti-stacking length 1 and anti-stacking length 2 are two length values set during winding stages or under different process requirements.

Source: Fu Caizhi. The table is generated from relevant setting parameters of direct twisting machines obtained from practical experiments.

Table 2

Production process parameter combination.

No. R 1/dtex R 2/rpm R 3/T/m R 4/% R 5/cN R 6/cN R 7 R 8 R 9/mm R 10/mm
#11,0009,50044330074001719237
#21,3009,2003802208.26001719237
#31,3009,2003802508.24501719237
#41,3009,2002802208.26001719237
#51,5009,0003652209.17001719237
#62,0008,80032322011.211001719237

Source: Fu Caizhi. The table is generated from relevant setting parameters of direct twisting machines obtained from practical experiments.

Figure 2

Complete flow chart of data processing and model training.

Source: The figure is constructed based on the sequence of data processing, and it is provided by the author Fu Caizhi.

Figure 3

Training set confusion matrix and test set confusion matrix.

Source: The figure is generated from the results of data processing and provided by the author Fu Caizhi.

Table 3

Initial validation of the model.

ModelBest parametersAccuracyPrecisionRecall F1-ScoreROC-AUC
Training setNone0.9960.86310.9261
Test setNone0.9970.88210.9371

Source: Fu Caizhi. The table is generated from relevant setting parameters of direct twisting machines obtained from practical experiments.

Table 4

Relevant indicators after model cross-validation.

Best parametersAccuracyPrecisionRecall F1-ScoreROC-AUC
RF cross validationNone0.9960.85210.9261
Standard deviation0.0010.01500.0090

Source: Fu Caizhi. The table is generated from relevant setting parameters of direct twisting machines obtained from practical experiments.

Figure 4

Number of decision trees (n_estimators), maximum depth (max_depth), minimum number of samples required for leaf nodes (min_samples_leaf), minimum number of samples required for internal node splitting influence of different values on model F1-score (from left to right, top to bottom).

Source: The figure is generated from the results of data processing and provided by the author Fu Caizhi.

Table 5

Training results of model after parameter optimization.

ModelBest parametersAccuracyPrecisionRecall F1-ScoreROC-AUC
Training set{“n_estimators”: 200}0.9970.8740.9940.9301
{“max_depth”: 10}
{“min_samples_leaf”: 1}
{“min_samples_splits”: 5}
“class_weight”: {0: 0.51, 1: 22.01}
Test set{“n_estimators”: 200}0.9970.8840.9920.9351
{“max_depth”: 10}
{“min_samples_leaf”: 1}
{“min_samples_splits”: 5}
“class_weight”: {0: 0.51, 1: 22.01}

Source: The table is generated from the results of data processing and provided by the author Fu Caizhi.

Figure 5

Training set confusion matrix and test set confusion matrix after parameter optimization.

Source: The figure is generated from the results of data processing and provided by the author Fu Caizhi.

Table 6

Predicted vs true values.

First five rowsLast five rows
IdPredicted valueTrue valueProbabilityIdPredicted valueTrue valueProbability
10250100.694328910.0000.0000.000
13055100.69462580.0000.0000.000
29097110.985219670.0000.0000.000
36502111.000328840.0000.0000.000
15668100.5442170.0000.0000.000

Source: The table is generated from the results of data processing and provided by the author Fu Caizhi.

Figure 6

Spindle speed distribution diagram when yarn breaks.

Source: The figure is generated from the results of data processing and provided by the author Fu Caizhi.

Figure 7

Percentage distribution diagram of winding when yarn breaks.

Source: The figure is generated from the results of data processing and provided by the author Fu Caizhi.

Figure 8

Influence of spindle stoppage on yield per minute.

Source: The figure is generated from the results of data processing and provided by the author Fu Caizhi.

Figure 9

Feature importance ranking.

Source: The figure is generated from the results of data processing and provided by the author Fu Caizhi.

Table 7

Analysis of speed standard deviation before and after yarn breakage (six typical equipment)

DeviceMedian velocity/rpmStandard deviation of speedIQR (Q 1Q 3)/rpmStandard deviation range/rpm
D16-L18803.0073.068799.00∼8803.008795.88 ∼ 8810.12
D23-R18803.0011.188799.00∼8803.008795.88 ∼ 8810.12
D24-L19503.007.889499.00∼9503.009495.33 ∼ 9510.67
D48-L19003.00110.968999.00∼9003.008995.73 ∼ 9010.27
D71-R19200.00142.319200.00∼9203.009192.57 ∼ 9207.43
D72-L19200.0027.789200.00∼9203.009192.57 ∼ 9207.43

Source: The table is generated from the results of data processing and provided by the author Fu Caizhi.

Figure 10

Comparison of actual speed to target speed (top six devices).

Source: The figure is generated from the results of data processing and provided by the author Fu Caizhi.

Figure 11

Analysis of winding percentage between normal state and broken yarn state (top six devices).

Source: The figure is generated from the results of data processing and provided by the author Fu Caizhi.

Figure 12

Effect of winding percentage on yarn break rate (all devices).

Source: The figure is generated from the results of data processing and provided by the author Fu Caizhi.

Figure 13

Interaction effect of fullness × speed deviation (%) on yarn break rate.

Source: The figure is generated from the results of data processing and provided by the author Fu Caizhi.

Figure 14

Motion of curling mechanism.

Source: The figure data originate from the angle settings adopted during yarn package winding, and the figure are provided by the author Fu Caizhi.

DOI: https://doi.org/10.2478/ftee-2026-0006 | Journal eISSN: 2300-7354 | Journal ISSN: 1230-3666
Language: English
Page range: 76 - 89
Submitted on: Mar 16, 2026
Accepted on: Jun 25, 2026
Published on: Aug 19, 2026
Published by: Łukasiewicz Research Network, Institute of Biopolymers and Chemical Fibres
In partnership with: Paradigm Publishing Services
Publication frequency: Volume open

© 2026 Fu Caizhi, Wang Chengqun, Dong Yuxuan, Xu Weiqiang, published by Łukasiewicz Research Network, Institute of Biopolymers and Chemical Fibres
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.