CLC number: TH137
On-line Access: 2024-08-27
Received: 2023-10-17
Revision Accepted: 2024-05-08
Crosschecked: 2015-04-20
Cited: 3
Clicked: 4876
Citations: Bibtex RefMan EndNote GB/T7714
Xu Yang, Guo-fang Gong, Hua-yong Yang, Lian-hui Jia, Qun-wei Ying. A cutterhead energy-saving technique for shield tunneling machines based on load characteristic prediction[J]. Journal of Zhejiang University Science A, 2015, 16(5): 418-426.
@article{title="A cutterhead energy-saving technique for shield tunneling machines based on load characteristic prediction",
author="Xu Yang, Guo-fang Gong, Hua-yong Yang, Lian-hui Jia, Qun-wei Ying",
journal="Journal of Zhejiang University Science A",
volume="16",
number="5",
pages="418-426",
year="2015",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.A1400323"
}
%0 Journal Article
%T A cutterhead energy-saving technique for shield tunneling machines based on load characteristic prediction
%A Xu Yang
%A Guo-fang Gong
%A Hua-yong Yang
%A Lian-hui Jia
%A Qun-wei Ying
%J Journal of Zhejiang University SCIENCE A
%V 16
%N 5
%P 418-426
%@ 1673-565X
%D 2015
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.A1400323
TY - JOUR
T1 - A cutterhead energy-saving technique for shield tunneling machines based on load characteristic prediction
A1 - Xu Yang
A1 - Guo-fang Gong
A1 - Hua-yong Yang
A1 - Lian-hui Jia
A1 - Qun-wei Ying
J0 - Journal of Zhejiang University Science A
VL - 16
IS - 5
SP - 418
EP - 426
%@ 1673-565X
Y1 - 2015
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.A1400323
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.
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