获取途径

作者

Liu Zhaojun Zhu Xijun

作者单位

College of Information and Engineering，Taishan Medical University，Tai'an 271016，China；School of Information Science and Technology，Qingdao University of Science and Technology，Qingdao

会议名称

第三届现代采矿与安全技术国际学术会议

会议录

第三届现代采矿与安全技术国际学术会议论文集

会议地点

辽宁阜新

召开年

2008

关键词

mine hoist wavelet neural network fault forecast

摘要

The wavelet neural network is used to predict the time series of key characteristic parameters about the abrad-ability of steel wire rope, time of idle motion, life of pad wear away, clearance of brake shoe, remnant oil pressure and deflection degree of brake disk for the mine hoist Then the trend of hoist fault can be forecasted from these predicted characteristic parameters. Simulations and experiments indicate that the forecasting precision can satisfy the practical requirement It is very sig...更多

The wavelet neural network is used to predict the time series of key characteristic parameters about the abrad-ability of steel wire rope, time of idle motion, life of pad wear away, clearance of brake shoe, remnant oil pressure and deflection degree of brake disk for the mine hoist Then the trend of hoist fault can be forecasted from these predicted characteristic parameters. Simulations and experiments indicate that the forecasting precision can satisfy the practical requirement It is very significant to ensure the secure and efficient run of mine hoist.收起

文献类型

会议论文

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4