A Method for Disc Cutter Wear Prediction Based on Neural Network
[1]DING Xiaobin,XIE Yuxuan,XUE Haowen,et al.A Method for Disc Cutter Wear Prediction Based on Neural Network[J].Journal of Zhengzhou University (Engineering Science),2023,44(01):83-88.[doi:10.13705/j.issn.1671-6833.2022.04.009]
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Journal of Zhengzhou University (Engineering Science)[ISSN
1671-6833/CN
41-1339/T] Volume:
44卷
Number of periods:
2023 01
Page number:
83-88
Column:
Public date:
2022-12-06
- Title:
- A Method for Disc Cutter Wear Prediction Based on Neural Network
- CLC:
- TU94
- DOI:
- 10.13705/j.issn.1671-6833.2022.04.009
- Abstract:
- To provide a reference for manual cutter inspection in shield tunneling, in this study the wear of disc cutters was simplified as a multivariate nonlinear regression problem, and constructs a data analysis framework was constructed to predict the cutter wear quantitatively by combining the effect of three kinds of factors, which were machinery, geology and management. The shield tunnel section from Panyu Square Station to Nancun Wanbo Station of Guangzhou Metro Line 18 was taken as the engineering background, 4 parameters were selected and 2 386 labeled data derived from 34 face cutters and 81 manual inspections were obtained. The training of BPNN was expedited by using the LM algorithm and SMBO method, which fully exploitd the regression ability of the neural network. The prediction got coefficients of determination (R2) over 0.86 for 83.3% of the test samples, and the accuracy was greatly improved compared with the reference formula used for data labeling. It showed that the model trained by this method had higher accuracy in the prediction of disc cutter wear.
- References:
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Last Update:
2022-12-07