Possibilities and Prospects for Improving the Tribological Properties of Titanium and Its Alloys by Electrospark Deposition

Penyashki, T.; Kamburov, Valentin; Kostadinov, G.; Kandeva, M. K.; Dimitrova, Rayna; Nikolov, Antonio

doi:10.3103/s1068375522020090

Cited by 2 publications

(1 citation statement)

References 35 publications

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“…At present, China is in an important period of agricultural modernization, and the demand for intelligent agricultural machinery and equipment is also growing [1,2]. However, the intelligent level of the existing agricultural machinery and equipment in China is low, which is inconsistent with the current requirements for automation and high-efficiency operation, and is not conducive to the rapid development of China's agricultural modernization [3,4].…”

Section: Introductionmentioning

confidence: 99%

Data Mining Technology for Agricultural Equipment Machinery and Information Network Data Resources

Fan

Zhang

et al. 2022

Wireless Communications and Mobile Computing

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In order to realize the automation and intelligence of agricultural equipment mechanical state detection and improve the efficiency and accuracy of agricultural machinery equipment detection technology, this paper proposes an intelligent agricultural machinery equipment state detection method based on computer data mining. This method uses support vector machine to classify the equipment status and uses ant colony algorithm to solve the optimization problem. Its basic logic is to collect the status data of agricultural machinery equipment, extract the status detection characteristics of agricultural machinery equipment, and use computer data mining to establish an automatic state detection model of agricultural machinery equipment. The application results show that the correct rate of the state detection of agricultural machinery equipment is more than 95%, and the false detection rate of the state of agricultural machinery equipment is far lower than that of other current state detection methods of agricultural machinery equipment. Conclusion. This method can realize high-precision real-time detection of agricultural machinery equipment and has higher practical value.

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Section: Introductionmentioning

confidence: 99%

Data Mining Technology for Agricultural Equipment Machinery and Information Network Data Resources

Fan

Zhang

et al. 2022

Wireless Communications and Mobile Computing

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Characteristics, composition and structure of coatings of WC-TiB₂-B₄C - Ni-Cr-B-Si-C electrodes formed on titanium alloys by contactless electrospark deposition

Penyashki

Kostadinov

Nikolov

et al. 2022

2022 v International Conference on High Technology for Sustainable Development (HiTech)

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Possibilities and Prospects for Improving the Tribological Properties of Titanium and Its Alloys by Electrospark Deposition

Cited by 2 publications

References 35 publications

Data Mining Technology for Agricultural Equipment Machinery and Information Network Data Resources

Data Mining Technology for Agricultural Equipment Machinery and Information Network Data Resources

Characteristics, composition and structure of coatings of WC-TiB₂-B₄C - Ni-Cr-B-Si-C electrodes formed on titanium alloys by contactless electrospark deposition

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Possibilities and Prospects for Improving the Tribological Properties of Titanium and Its Alloys by Electrospark Deposition

Cited by 2 publications

References 35 publications

Data Mining Technology for Agricultural Equipment Machinery and Information Network Data Resources

Data Mining Technology for Agricultural Equipment Machinery and Information Network Data Resources

Characteristics, composition and structure of coatings of WC-TiB2-B4C - Ni-Cr-B-Si-C electrodes formed on titanium alloys by contactless electrospark deposition

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Characteristics, composition and structure of coatings of WC-TiB₂-B₄C - Ni-Cr-B-Si-C electrodes formed on titanium alloys by contactless electrospark deposition