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Abstract

Aiming at the problems of low accuracy, low efficiency and low stability of traditional methods and recent developments in advanced technology incite the industries to be in sync with modern technology. With respect to various available techniques, this paper designs a fuzzy comprehensive evaluation model of the manufacturing industry for transferring risk based on economic big-data analytics. The big-data analysis method is utilized to obtain the data source of fuzzy evaluation of the manufacturing industry to transfer risk using data as the basis of risk evaluation. Based on the risk factors, the proposed model establishes the risk index system of the manufacturing industry and uses the expert evaluation method to design the scoring method of the evaluation index system. To ensure the accuracy of the evaluation results, the manufacturing industry's fuzzy comprehensive model is established using the entropy weight method, and the expert evaluation results are modified accordingly. The experimental results show that the highest efficiency of the proposed method is 96%, the highest accuracy of the evaluation result is 75%. The evaluation result's stability is higher than the other existing methods, which fully verifies the effectiveness and can provide a reliable theoretical basis for enterprise risk evaluation research.
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Authors and Affiliations

Tong Sun
1
Chunzhi Liu
2

  1. Department of Economics, Shenyang Institute of Science and Technology, Shenyang, 110167, China
  2. College of International Business, Shenyang Normal University, Shenyang, 110034, China
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Abstract

The aging of composite insulators in outdoor operation for a long time has a direct impact on the safe and stable operation of the power grid. To solve this problem, fuzzy comprehensive evaluation of composite insulators based on level difference maximum is proposed. To verify the feasibility of this method, insulators in Xinjiang are sampled and the index evaluation system for composite insulators is established based on electrical, mechanical, hydrophobic and other properties, combined with operational years, geographical environment and other factors; Firstly, different membership functions are established according to index types. It is more likely to determine the grade of insulator by comparing measured data with the boundary value. Then, to solve the problem that weights cannot be effectively integrated in the combination weighting, level difference maximization is proposed (during the operation of insulators, the index which has a greater influence on the performance of insulators takes a higher proportion of the weight). Finally, on the basis of fully considering the clarity and ambiguity of grade division, the grade state of insulators is obtained by using the linear weighting method. The results show that compared with the traditional method, the improved method of the membership function and level difference maximum can realize the dynamic adjustment of the index based on the degree of information change. The method can better evaluate the insulator grade. The case study shows that the model can accurately and quickly judge the state of composite insulators, which can be used as a reference for manufacturing and maintenance departments.
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Bibliography

[1] Liang X.D., Gao Y.F., Wang J.F. et al., Rapid development of silicone rubber composite insulators in China, High Voltage Engineering, vol. 42, no. 9, pp. 2888–2896 (2016), DOI: 10.13336/j.1003- 6520.hve.20160907025.

[2] Yuan Z.K., Degradation characteristics and mechanism of materials in composite insulator under high humidity, PhD Thesis, North China Electric Power University, Beijing (2019).

[3] Xoa Y.F., Song X.M., He J.Z. et al., Evaluation method of aging for silicone rubber of compos- ite insulator, Transactions of China Electrotechnical Society, vol. 34, no. S1, pp. 440–448 (2019), DOI: 10.19595/j.cnki.10006753.tces.L80647.

[4] Tang J., Liu Q.S., Liu J.W. et al., Evaluation of composite insulators based on fuzzy comprehen- sive evaluation, Engineering Journal of Wuhan University, vol. 52, no. 5, pp. 451–456 (2019),  DOI: 10.14188/j.1671-8844.2019-05-012.

[5] Huang X., Wang L.Y., Wang Q. et al., Grey fuzzy comprehensive evaluation model of contamina- tion state for insulators based on IFAHP with bayesian modified method, Science Technology and Engineering, vol. 20, no. 13, pp. 5135–5141 (2020), DOI: CNKI:SUN:KXJS.0.2020-13-018.

[6] Liu Y.P., Xu Z.Q., Fu H.C. et al., Insulation Condition Assessment Method of Power Transformer Based on Improved Extension Cloud Theory With Optimal Cloud Entropy, High Voltage Engineering, vol. 46, no. 2, pp. 397–405 (2020), DOI: 10.13336/j.1003-6520.hve.20190215004.

[7] Fan L., Xia F., Su H.Y. et al., Risk assessment of high voltage insulator contamination condition by cloud theory, Power System Protection and Control, vol. 40, no. 15, pp. 57–62 (2012), DOI: CNKI: SUN:JDQW.0.2012-15-014.

[8] Wang S.H., Jing H., Study on method for predicting pollution Flashover insulators in contact network, Journal of the China Railway Society, vol. 40, no. 3, pp. 58–67 (2018), DOI: CNKI:SUN:TDXB.0.2018- 03-011.

[9] Huai M.Q., Research on prediction of contamination state of insulator on catenary based on fuzzy neural network, Master Thesis, Lanzhou Jiaotong University, Gansu (2018).

[10] Yang Z.C., Zhang C.L., Ge L. et al., Comprehensive fuzzy evaluation based on entropy weight method for insulator flashover pollution, Electric Power Automation Equipment, vol. 34, no. 4, pp. 90–94 (2014), DOI: CNKI:SUN:DLZS.0.2014-04-016.

[11] Zhou Y.M., Studies on the degradation depth of silicon composite insulator in service, Master Thesis, Wuhan University, Wuhan (2018).

[12] Chen X.C., Li L.Q., Wu Z.G. et al., Research on shed properties of network operating composite insulators, Guangdong Electric Power, vol. 29, no. 6, pp. 104–108 (2016), DOI: 10.3969/j.issn.1007- 290X.2016.06.019.

[13] Yang L.G., Florian Pauli, Kay Hameyer, Influence of thermal-mechanical stress on the insulation system of a low voltage electrical machine, Archives of Electrical Engineering, vol. 70, no. 1, pp. 233–244 (2021), DOI: 10.24425/aee.2021.136064.

[14] Liu Y., Wang J.G., Han F. et al., Electrical and mechanical properties of composite insulators af- ter different operation periods, High Voltage Engineering, vol. 34, no. 5, pp. 1017–1021 (2008), DOI: 10.13336/j.1003-6520.hve.2008.05.027.

[15] Yao L.N., Wu Y.H., Wang S.H. et al., Electrical and mechanical properties of on-line compos- ite insulators, Insulating Materials, vol. 48, no. 8, pp. 23–27 (2015), DOI: 10.16790/j.cnki.1009- 9239.im.2015.08.005.

[16] Jia Z.D., Yang C.X., Wang X.L. et al., Aging characteristics of composite insulators based on hydropho- bicity transfer test, High Voltage Engineering, vol. 41, no. 6, pp. 1907–1914 (2015), DOI: 10.13336/ j.1003-6520.hve.2015.06.019.

[17] Zhang M.M., Research on evaluation Method of Insulator pollution Status Assessment Based on UV Pulse Parameters, Master Thesis, Southwest Jiaotong University, Sichuan (2019).

[18] Mao Y.K., Guan Z.C., Wang L.M. et al., Evaluation of contamination levels of outdoor insulators based on the principal components analysis of leakage current Pulse, Transactions of China Electrotechnical Society, vol. 24, no. 8, pp. 39–45 (2009), DOI: 10.19595/j.cnki.10006753.tces.2009.08.007.


[19] Ning G.T., Fang B., Qin D. et al., Design and application of comprehensive evaluation index system of smart grid based on coordinated planning of major network and power distribution network, Archives of Electrical Engineering, vol. 70, no. 1, pp. 103–113 (2021), DOI: 10.24425/aee.2021.136055.

[20] Zhou L.L., Research of methods and their application of determining the weights of attributes in fuzzy comprehensive evaluation, Master Thesis, Northeastern University, Liaoning (2014).

[21] Li G., Li J.P., Sun X.L. et al., Research on a combined methods of subjective-objective weighting and its rationality, Management Review, vol. 29, no. 12, pp. 17–26+61 (2017), DOI: 10.14120/j.cnki. cn115057/f.2017.12.002.

[22] Chen Y.C., Dai J.Y., Xie D., Comprehensive evaluation of mine ventilation system based on combi- nation weighting cloud model, Systems Engineering, vol. 38, no. 6, pp. 35–42 (2020), DOI: 1001- 4098(2020)06-0035-08.

[23] Wang L.L., Research on cleaner production evaluation index system and grade comprehensive evalua- tion methodologies of wastewater treatment plants in cities and towns, PhD Thesis, Dalian University of Technology, Dalian (2015).


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Authors and Affiliations

Sihua Wang
1
ORCID: ORCID
Long Chen
1
ORCID: ORCID
Lei Zhao
1
Junjun Wang
1

  1. Lanzhou Jiaotong University, Lanzhou, 730070, China

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