The Fault Diagnosis of Shield Disc Cutter Based on Neural Network

DOI

10.2991/mme-16.2017.104How to use a DOI?

Keywords

Neural Network, Shield Machine, Disc Cutter Wear, Fault Diagnosis.

Abstract

In order to predict the wear fault of disc cutter in shield machine, a BP neural network model was established and then trained by inputting several groups of disc cutter wear fault samples data including cutter rotate speed, cutter head torque, tunnelling speed, total thrust force and soil pressure force into the model. Through testing, the model has a good agreement with the practice, and can realize on-line monitoring and prediction for the fault of cutter wear.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Kui Chen
AU  - Jia-Dong Chang
AU  - Hai-Xia Wang
AU  - Long-Yu Wu
PY  - 2016/12
DA  - 2016/12
TI  - The Fault Diagnosis of Shield Disc Cutter Based on Neural Network
BT  - Proceedings of the 3rd Annual International Conference on Mechanics and Mechanical Engineering (MME 2016)
PB  - Atlantis Press
SP  - 752
EP  - 756
SN  - 2352-5401
UR  - https://doi.org/10.2991/mme-16.2017.104
DO  - 10.2991/mme-16.2017.104
ID  - Chen2016/12
ER  -