State identification method of eccentric roll crusher based on GAF-ResNeXt
MAO Yiwei
YE Long
WU Yewei
LIU Wanhua
WANG Shuai
Reziyanmu Tursun
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.
Keywords：eccentric roller crushergram angle fieldconvolutional neural networkstate recognition
Publication Date：2024-07-20
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：5( 55-59 )