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Abstract

In order to meet the application requirements of high-power mobile inductively-coupled power transfer (ICPT) equipment, the structure of the dual transmitter and pickup can be used to improve the transmission power of the ICPT system. However, this structure cannot easily describe the change of the mutual inductance parameter in the moving state, making the mathematical model difficult to establish. The change of load parameters during the movement will affect the current and voltage at the transmitter and pickup coils. Aiming at these problems, this paper proposes a dual transmitter and pickup ICPT system based on inductor-capacitor-inductor (LCL) compensation network, and analyzes its power trans- mission efficiency. By setting the shape and size of the coil, the influence of the change of the mutual inductance parameters on the system efficiency during the movement is reduced. The changes of the mutual inductance parameters of the ICPT system under the moving state are simulated by changing the coupling coefficient in the PSpice software. The results show that the structure of the ICPT system used in this paper can improve the output power and reduce the influence of the system when the load changes.

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Authors and Affiliations

Xin Gao
Xin Li
ORCID: ORCID
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Abstract

In order to explore the impact of coal and gangue particle size changes on recognition accuracy and to improve the single particle size of coal and gangue identification accuracy of sorting equipment, this study established a database of different particle sizes of coal and gangue through image gray and texture feature extraction, using a relief feature selection algorithm to compare different particle size of coal and gangue optimal features of the combination, and to identify the points and particle size of coal and gangue. The results show that the optimal features and number of coal and gangue are different with different particle sizes. Based on visible-light coal and gangue separation technology, the change of coal and gangue particle size cause fluctuations in the recognition accuracy, and the fluctuation of recognition accuracy will gradually decrease with increases in the number of features. In the process of particle size classification, if the training model has a single particle size range, the recognition accuracy of each particle size range is low, with the highest recognition accuracy being 98% and the average recognition rate being only 97.2%. The method proposed in this paper can effectively improve the recognition accuracy of each particle size range. The maximum recognition accuracy is 100%, the maximum increase is 4%, and the average recognition accuracy is 99.2%. Therefore, this method has a high practical application value for the separation of coal and gangue with single particle size.
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Authors and Affiliations

Xin Li
1 2
ORCID: ORCID
Shuang Wang
1 2
Lei He
1 2
Qisheng Luo
1 2

  1. School of Mechanical Engineering, Anhui University of Science and Technology, Huainan, China
  2. State Key Laboratory of Mining Response and Disaster Prevention and Control in Deep Coal Mines, Anhui University of Science and Technology, Huainan, China
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Abstract

The traction power supply system based on Inductively Coupled Power Transfer (ICPT) technology is one of the new traction power supply technologies that will be developed in the future. As the core part of rail transit energy transfer and conversion, the traction power supply system is not only the critical system for the safe operation of rail transit, but also the main source of its failures, so it is of great significance to study its reliability. In this paper, the reliability analysis of the non-contact traction power supply system based on mobile ICPT technology is carried out using the method of (Fault Tree Analysis) FTA combined with triangular fuzzy theory and grey relational theory. Firstly, the fault tree of the system is established, and the minimum cut sets and structure function of the fault tree are obtained. Then the triangular fuzzy numbers are introduced to represent the probability of the bottom events, and the fuzzy probability of the top event and the fuzzy importance of the bottom events are determined, after that, the maximum probability of failure of the top event is obtained. Finally, the grey relational degrees of each minimum cut set are obtained and ranked. Furthermore, in order to prove the correctness of this method, the trapezoidal fuzzy FTA is introduced and compared with it. Both research results show that the loosely coupled transformer and Insulated Gate Bipolar Transistor (IGBT) module are the weak links of the system. The results obtained are consistent and realistic, which proves the correctness of the method selected in this article.
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Bibliography

[1] Yang Q.X., Zhang P.C., Zhu L.H., Xue M., Zhang X., Li Y., Key fundamental problems and technical bottlenecks of the wireless power transmission technology, Transactions of China Electrotechnical Society, vol. 30, no. 5, pp. 1–8 (2015).
[2] He Z.Y., Feng D., Lin S., Sun X.J., Research on security risk assessment for traction power supply system of high-speed railway, Journal of Southwest Jiaotong University, vol. 51, no. 3, pp. 418–429 (2016).
[3] Mai R.K., Li Y., He Z.Y., Wireless power transfer technology and its research progress in rail transportation, Journal of Southwest Jiaotong University, vol. 51, no. 3, pp. 446–461 (2016).
[4] Li X., Li R.Q., Review of contactless traction power supply system based on ICPT, High Voltage Apparatus, vol. 55, no. 7, pp. 1–9 (2019).
[5] Lin F., The Analysis of indexes and reliability of the traction power supply system, MA Thesis, Southwest Jiaotong University (2006).
[6] Wang Z., Lin S., Feng D., Gao S.B., Chen J., Research on reliability evaluation method for catenary system considering weather condition, Journal of the China Railway Society, vol. 40, no. 10, pp. 49–56 (2018).
[7] Liu K., Liu Z.G., Chen J.W., Crack detection of messenger wire supporter in catenary support devices of high-speed railway, Journal of the China Railway Society, no. 7, pp. 43–49 (2019).
[8] Ali K., Mohammad E.H., Ebadollah K., Prioritization approach for circuit breakers to equip with condition monitoring devices, Archives of Electrical Engineering, vol. 69, no. 2, pp. 403–422 (2020).
[9] Chen M.W., Tian H., Song Y.L., Reliability optimization of co-phase power supply device based on frequency conversion control strategy, Journal of Southwest Jiaotong University, vol. 55, no. 1, pp. 9–17 (2020).
[10] Xi Y., Chen B., Guo X.B., Reliability assessment of distribution automation based on IEC61850, Power System Protection and Control, vol. 47, no. 16, pp. 129–135 (2019).
[11] Zhao H.S., Zhao H.Y., Distribution system reliability analysis considering the elements failure rate changes, Power System Protection and Control, vol. 43, no. 11, pp. 56–62 (2015).
[12] Hu S.W., Zhou H., Cong L., Reliability analysis of distribution network with power electronic substation based on fault tree, Power System Protection and Control, vol. 46, no. 21, pp. 25–31 (2018).
[13] Li Y.F., Du L., Xiao N.C., Fuzzy fault tree analysis for auto drive axle system, Journal of Southwest Jiaotong University, vol. 43, no. 7, pp. 110–114 (2009).
[14] Liu P., Yang L.X., Gao Z.Y., Fault tree analysis combined with quantitative analysis for high-speed railway accidents, Safety Science, pp. 344–357 (2015).
[15] Tanaka H., Fan L.T., Lai F.S., Fault-tree analysis by fuzzy probability, IEEE Transactions on Reliability, vol. 32, no. 5, pp. 453–457 (1983).
[16] Liu Y., Xiao Y.L., Zhang G.B., Fault tree analysis of grinding wheel rack system of CNC grinder based on trapezoidal fuzzy number, Chinese Journal of Engineering Design, vol. 25, no. 4, pp. 394–401 (2018).
[17] Singer D., A fuzzy set approach to fault tree and reliability analysis, Fuzzy Sets and Systems, vol. 34, no. 2, pp. 145–155 (1990).
[18] Huang W.C., Liu Y.K., Zhang Y., Tree and fuzzy D–S evidential reasoning combined approach: An application in railway dangerous goods transportation system accident analysis, Information Sciences, pp. 117–129 (2020).
[19] Zhou Z., Ma D.Z., Yu X.Y., Application of fuzzy grey relational analysis in fault tree analysis, Electric Machines and Control, vol. 16, no. 3, pp. 60–64 (2012).
[20] Wang T., Zhao Y., Chen J., Fault tree analysis of automobile drive axle system based on fuzzy grey correlation theory, Journal of Central South University (Science and Technology), vol. 49, no. 11, pp. 2716–2722 (2018).
[21] Zhou G.L., Zhang J.T., Liu X.T., Study on reliability of disc brake system for mine hoist based on fuzzy dynamic fault tree, Journal of China Coal Society, vol. 44, no. 2, pp. 639–646 (2019).
[22] Zhao L.L.,Wang M.X., Ni M., Analysis of hardware system’s reliability of security and stability control device, Power System Protection and Control, vol. 44, no. 13, pp. 67–73 (2016).
[23] Nan Y., Song R.Q., Chen P., Study on the factors influencing the reliability analysis in distribution network based on improved entropy weight grey correlation analysis algorithm, Power System Protection and Control, vol. 47, no. 24, pp. 101–107 (2019).
[24] Mo Y.F., Zhang Y.J., Optimal object selection of power utilization reliability promotion for smart distribution grid based on weighted grey correlation, Power System Protection and Control, vol. 47, no. 5, pp. 26–34 (2019).
[25] Andruszkiewicz J., Lorenc J., Weychan A., Distributed generation as efficient measure to improve power generation adequacy, Archives of Electrical Engineering, vol. 68, no. 2, pp. 373–385 (2019).
[26] Zhao Z.Y., Yang Z.P., Lin F., Coil optimization of wireless power transfer system applied in trams based on parking error law, Proceedings of the CSEE, vol. 37, no. A1, pp. 196–203 (2017).
[27] Gao Q.L., Study on wireless charging system of electric vehicle based on ICPT, Electronics World, no. 4, pp. 189–191 (2016).
[28] Mai R.K., Lu L.W., Li Y., Circulating current elimination of parallel dual-inverter for IPT Systems, Transactions of China Electrotechnical Society, vol. 31, no. 3, pp. 8–15 (2016).
[29] Han X.T., Yin X.G., Application of fault tree analysis method in reliability analysis of substation communication system, Power System Technology, no. 1, pp. 56–59 (2004).
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Authors and Affiliations

Yanxia Pei
1
ORCID: ORCID
Xin Li
2
ORCID: ORCID

  1. Key Laboratory of Opto-Technology and Intelligent Control Ministry of Education, Lanzhou Jiaotong University, China
  2. School of New Energy and Power Engineering, Lanzhou Jiaotong University, China
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Abstract

This paper conducts low temperature welding tests on Q460GJC thick plate (60 mm), and based on the basic theory of phase transformation structure evolution, a three-dimensional microstructure evolution analysis method for large welded joints is established, and the analysis of the evolution process of multi-layer and multi-pass weld structure under the low temperature environment of thick plates is completed. The comparison and analysis of test and numerical simulation results are in good agreement, which proves that the welding phase transformation model realizes the digitalization of metallurgical phase transformation in steel structure welding, and optimizes welding process parameters. It is of great significance to improve the quality of welding products and lay a foundation for predicting the performance of welded joints from the micro level.
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Authors and Affiliations

Xin Li
1
ORCID: ORCID
Meng Wang
1
Han Qi
2
Jie Li
3
Changchun Pan
4
Jing Zhang
3
Jingman Lai
3

  1. Beijing Construction Engineering Group Co., LTD, Beijing, 100032, P.R. China
  2. Beijing Third Construction Engineering Co., LTD, Beijing, 100032, P.R. China
  3. Central Research Institute of Building and Construction Co., Ltd. MCC, Beijing, 100032, P.R. China
  4. China State Shipbuilding International Engineering Co., Ltd. CSIE, Beijing, 100000, P.R. China

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