Evaluation of Downhole Bit Wear Status Based on Improved CNN-SVM

The existing bit wear evaluation methods have the problems such as the inability of fully extracting the dynamic feature of signals needed by correct classification in the manual feature extraction process and the need for massive calculation of various statistics.Therefore,a new bit wear rate evalu...

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Bibliographic Details

Published in:	DOAJ (DOAJ: Directory of Open Access Journals)
Main Authors:	Li Yumei, Deng Yanglin, Li Jiwei, Li Qian, Yang Lei, Yu Liwei
Format:	Article
Language:	zh
Published:	2024
Subjects:	Machine Fault Diagnosis Techniques Drilling and Well Engineering Advanced machining processes and optimization CNN-SVM convolutional neural networks support vector machine feature extraction genetic algorithm parameter optimization fault classification
Online Access:	https://doaj.org/article/25046041557e4872bf523c3c990f198e
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