重型机械Issue(4)：55-59,5.
基于GAF-ResNeXt的偏心辊式破碎机状态识别方法
State identification method of eccentric roll crusher based on GAF-ResNeXt
摘要
Abstract
Eccentric roller crushers need to operate continuously for long periods in harsh environments,making the state recognition of eccentric roller crushers crucial for ensuring their safe,stable,and efficient operation.This paper establishes an operational condition dataset for eccentric roller crushers based on experimental data,designs a state recognition method for eccentric roller crushers using GAF-ResNeXt,and validates the effectiveness of the recognition method through the dataset.关键词
偏心辊式破碎机/格拉姆角场/卷积神经网络/状态识别Key words
eccentric roller crusher/gram angle field/convolutional neural network/state recognition分类
矿业与冶金引用本文复制引用
毛逸维,叶龙,吴叶伟,刘万华,王帅,热孜艳木·吐尔逊..基于GAF-ResNeXt的偏心辊式破碎机状态识别方法[J].重型机械,2024,(4):55-59,5.基金项目
国家自然科学基金项目(No.52375098) （No.52375098）
沈阳市揭榜挂帅项目"偏心辊式破碎机关键技术攻关"(No.22316120) （No.22316120）
