Full-Text Search:
Home|Journal Papers|About CNKI|User Service|FAQ|Contact Us|中文
《China Mechanical Engineering》 2016-17
Add to Favorite Get Latest Update

Failure Diagnosis of Shearer's Picks Based on Information Fusion from Multi Sensors

Zhang Qiang;Wang Haijian;Li Liying;Wen Xuezhen;Nguyen Viet Tuyen;Liaoning Technical University;State Key Laboratory of Structural Analysis for Industrial Equipment,Dalian University of Technology;Vien Co Khi Nang Luong Va Mo;  
For the problems that the picks failure states for a shearer's cutting head were not easy to identify in the cutting processes,a method was proposed based on multi sensor feature information fusion.By testing the vibration signals and acoustic emission signals of the picks in different abrasion degrees of a shearer,the signal feature databases of the picks' abrasion and failure were established by using the method of multi sensor feature information fusion of minimum fuzzy membership optimization model to diagnose shearer picks abrasion and failure states.The experimental results show that the accuracy rate of the diagnosis results of picks is more than 95%,which indicates that the method can realize the accurate diagnosis to the states of the shearer's picks.The research results make a great contribution to discover and replace the failure picks,and to improve the service life and work efficiency of the shearer cutting head.
【Fund】: 国家自然科学基金资助项目(51504121);; 高等学校博士学科点专项科研基金资助项目(20132121120011);; 工业装备结构分析重点实验室开放基金资助项目(GZ1402);; 辽宁省高等学校杰出青年学者成长计划资助项目(LJQ2014036);; 辽宁“百千万人才工程”培养经费资助项目(2014921070)
【CateGory Index】: TD421.6;TP202
Download(CAJ format) Download(PDF format)
CAJViewer7.0 supports all the CNKI file formats; AdobeReader only supports the PDF format.
©2006 Tsinghua Tongfang Knowledge Network Technology Co., Ltd.(Beijing)(TTKN) All rights reserved