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Classification of rubber vulcanizing accelerators based on particle swarm optimization extreme learning machine and terahertz spectra

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Аннотация

In rubber tire production, three popular types of rubber vulcanizing accelerators exist that are similar in appearance (i.e., 2-Mercaptobenzothiazole, 4,4′-dithiodimorpholine, and tetramethyl thiuram monosulfide). Because the rubber vulcanizing accelerator has a great influence on the vulcanized rubber characteristics, it is necessary to classify and identify the three popular types of rubber vulcanizing accelerators to avoid using the wrong accelerator during tire production and to ensure the tire quality. The THz spectra of the accelerator samples were measured using a terahertz time-domain spectral system (THz-TDS) in a frequency range of 0.3–1.6 THz. An extreme learning machine (ELM) model was constructed to classify the three popular types of rubber vulcanizing accelerators via terahertz absorption spectra. To improve the classification accuracy of the model, a particle swarm optimization ELM model was constructed possessing a higher classification accuracy than the ELM model in the classification and identification of rubber vulcanizing accelerators. 

Об авторах

X. Yin
School of Electronic Engineering and Automation at Guilin University of Electronic Technology; Guangxi Key Laboratory of Automatic Detecting Technology and Instruments
Россия

Guangxi Guilin 541004



W. He
School of Electronic Engineering and Automation at Guilin University of Electronic Technology; Guangxi Key Laboratory of Automatic Detecting Technology and Instruments
Россия

Guangxi Guilin 541004



L. Wang
School of Electronic Engineering and Automation at Guilin University of Electronic Technology; Guangxi Key Laboratory of Automatic Detecting Technology and Instruments
Россия

Guangxi Guilin 541004



W. Mo
School of Electronic Engineering and Automation at Guilin University of Electronic Technology; Guangxi Key Laboratory of Automatic Detecting Technology and Instruments
Россия

Guangxi Guilin 541004



A. Li
National Rubber and Rubber Products Quality Supervision and Inspection Center (Guangxi)
Россия

Guilin 541004



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Для цитирования:


Yin X., He W., Wang L., Mo W., Li A. Classification of rubber vulcanizing accelerators based on particle swarm optimization extreme learning machine and terahertz spectra. Журнал прикладной спектроскопии. 2021;88(6):980.

For citation:


Yin X., He W., Wang L., Mo W., Li A. Classification of rubber vulcanizing accelerators based on particle swarm optimization extreme learning machine and terahertz spectra. Zhurnal Prikladnoii Spektroskopii. 2021;88(6):980.

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ISSN 0514-7506 (Print)