Textile Yarn Winding and Unwinding System

Pereira, Filipe; Oliveira, Eduardo; Ferreira, Gustavo Guedes; Sousa, Filipe Lage de; Caldas, Pedro

doi:10.1007/978-3-030-79165-0_33

Cited by 3 publications

(1 citation statement)

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“…The tension sensor is one of the essential devices for obtaining the tension change of winding equipment, which plays a vital role in improving the performance and parameters of winding capacity equipment [2]. A tension sensor is widely used to monitor the tension of strip, cloth, strip, and linear materials in the production process [3]. In the winding process, it is necessary to keep the winding tension stable to avoid the phenomenon of winding breakage and flaring.…”

Section: Introductionmentioning

confidence: 99%

Temperature Compensation of SAW Winding Tension Sensor Based on PSO-LSSVM Algorithm

Feng,

Liu,

et al. 2023

Micromachines

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In this paper, a SAW winding tension sensor is designed and data fusion technology is used to improve its measurement accuracy. To design a high-measurement precision SAW winding tension sensor, the unbalanced split-electrode interdigital transducers (IDTs) were used to design the input IDTs and output IDTs, and the electrode-overlap envelope was adopted to design the input IDT. To improve the measurement accuracy of the sensor, the particle swarm optimization-least squares support vector machine (PSO-LSSVM) algorithm was used to compensate for the temperature error. After temperature compensation, the sensitivity temperature coefficient αs of the SAW winding tension sensor was decreased by an order of magnitude, thus significantly improving its measurement accuracy. Finally, the error with actually applied tension was calculated, the same in the LSSVM and PSO-LSSVM. By multiple comparisons of the same sample data set overall, as well as the local accuracy of the forecasted results, which is 5.95%, it is easy to confirm that the output error predicted by the PSO-LSSVM model is 0.50%, much smaller relative to the LSSVM’s 1.42%. As a result, a new way for performing data analysis of the SAW winding tension sensor is provided.

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Section: Introductionmentioning

confidence: 99%