Similar articles

Abstract: In this paper, we propose a shield cutterhead load characteristic forecast method and apply it to optimize the efficiency of the cutterhead driving system. For the forecast method, wavelet transform is used for preprocessing, and grey model GM(1,1) for forecasting. The performance of the wavelet-based GM(1,1) (WGM(1,1)) is illustrated through field data based load characteristic prediction and analysis. A cutterhead mode control strategy (CMCS) is presented based on the WGM(1,1). The CMCS can not only provide operators with some useful operating information but also optimize the stator winding connection. Finally, the CMCS is tested on a cutterhead driving experimental platform. Results show that the optimized stator winding connection can improve the system efficiency through reducing the energy consumption under part-load conditions. Therefore, the energy-saving CMCS is useful and practical.

This paper is about the load characteristic prediction and its application to the control optimization of cutterhead driving system in shield tunneling machines. The paper is in a good shape with theory, experiment and simulation.

一种基于载荷特征预测的盾构机刀盘节能驱动技术

[1]Chen, C.I., Huang, S.J., 2013. The necessary and sufficient condition for GM (1,1) grey prediction model. Applied Mathematics and Computation, 219(11):6152-6162.

[2]Donoho, D.L., Johnstone I.M., 1994. Threshold selection for wavelet shrinkage of noisy data. Proceedings of the 16th Annual International Conference Engineering in Medicine and Biology Society, 1:A24-A25.

[3]Deng, J.L., 1989. Introduction to grey system theory. The Journal of Grey System, 1(1):1-24.

[4]Ferreira, F.J.T.E., 2009. Strategies to Improve the Performance of Three-phase Induction Motor Driven Systems. PhD Thesis, University of Coimbra, Portugal.

[5]Ferreira, F.J.T.E., de Almeida, A.T., 2006. Method for in-field evaluation of the stator winding connection of three-phase induction motors to maximize efficiency and power factor. IEEE Transactions on Energy Conversion, 21(2):370-379.

[6]Ferreira, F.J.T.E., de Almeida, A.T., Ge, B.M., et al., 2005. Automatic change of the stator-winding connection of variable-load three-phase induction motors to improve the efficiency and power factor. IEEE International Conference on Industrial Technology, Hong Kong, China.

[7]He, C., Feng, K., Fang, Y., et al., 2012. Surface settlement caused by twin-parallel shield tunnelling in sandy cobble strata. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 13(11):858-869.

[8]Hsu, C.C., Chen, C.Y., 2003. Applications of improved grey prediction model for power demand forecasting. Energy Conversion and Management, 44(14):2241-2249.

[9]Li, H., Manjunath, B.S., Mitra, S.K., 1995. Multisensor image fusion using the wavelet transform. Graphical Models and Image Processing, 57(3):235-245.

[10]Lin, C.S., Liou, F.M., Huang, C.P., 2011. Grey forecasting model for CO₂ emissions: a Taiwan study. Applied Energy, 88(11):3816-3820.

[11]Liu, X.Y., Yuan, D.J., 2014. An in-situ slurry fracturing test for slurry shield tunneling. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 15(7):465-481.

[12]Mallat, S.G., 1989. A theory for multiresolution signal decomposition: the wavelet representation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 11(7):674-693.

[13]Postalcioglu, S., Erkan, K., Bolat, E.D., 2005. Comparison of Kalman filter and wavelet filter for denoising. International Conference on Neural Networks and Brain, 2:951-954.

[14]Shi, H., Yang, H.Y., Gong, G.F., et al., 2014. Energy saving of cutterhead hydraulic drive system of shield tunneling machine. Automation in Construction, 37:11-21.

[15]Song, K.Z., Sun, M., 2007. Analysis of influencing factors of shield tunneling performance in complex rock strata. Chinese Journal of Rock Mechanics and Engineering, 26(10):2092-2096 (in Chinese).

[16]Wang, S.N., Pan, Y.H., Yang, J.G., 2007. Study on spillover effect of copper futures between LME and SHFE using wavelet multiresolution analysis. Journal of Zhejiang University-SCIENCE A, 8(8):1290-1295.

[17]Xing, T., Yang, H.Y., Gong, G.F., 2009. Drive technique of pumps optimized combination hydraulic system in shield tunneling machine. Journal of Zhejiang University (Engineering Science), 43(3):511-516 (in Chinese).

[18]Xing, T., Yang, H.Y., Gong, G.F., 2010. Efficiency comparative study for hydraulic drive system of cutter head in shield tunneling machine. Journal of Zhejiang University (Engineering Science), 44(2):358-363, 372 (in Chinese).

[19]Yang, H.Y., Xing, T., Gong, G.F., 2010. Variable speed pump control system for driving cutterhead of test shield tunneling machine. Journal of Zhejiang University (Engineering Science), 44(2):373-378 (in Chinese).

[20]Zhang, Q., 2012. Mechanics Characteristic Analysis and Modeling for Load of Shield Machine during Tunneling. PhD Thesis, Tianjin University, China (in Chinese).