首页 | 本学科首页   官方微博 | 高级检索  
     

振动频率分量敏感因子预测机器状态的研究
引用本文:徐小力 许宝杰. 振动频率分量敏感因子预测机器状态的研究[J]. 机械, 1999, 26(6): 2-3,23
作者姓名:徐小力 许宝杰
作者单位:北京机械工业学院!北京100085
基金项目:国家自然科学基金!( 项目编号:59775002)
摘    要:提出了采用振动频率分量敏感因子来预测机器工作状态发展趋势,该方式有利于对机器零部件的故障进行趋势预测,该将方式同振动烈度趋势预测联合可构成更为有效的互补趋势预测方案。

关 键 词:机器状态 机器 振动 振动烈度

A Study of Predicting Machine Condition with the Vibration Frequency Components Sensitive Factor
Xu Xiaoli Xu Baojie Yin jian. A Study of Predicting Machine Condition with the Vibration Frequency Components Sensitive Factor[J]. Machinery, 1999, 26(6): 2-3,23
Authors:Xu Xiaoli Xu Baojie Yin jian
Abstract:A technology of the trend predicting for machine condition is extremely important to the safety production and the advanced predictive maintenance for an equipment A traditional way of the trend predicting for machine condition with the vibration intensity is difficult to disclosing directly the developing trends of special fault to machine; for this reason, a way of the predicting developing trend for machine condition with vibration frequency components that are chosen as the sensitive factors is put forward, the way is advantageous to the trend predicting for the faults of mechanical parts, the way uniting with the trend predicting of the vibration intensity may make up more effective complementary plan of the trend predicting
Keywords:machine condition vibration frequency components sensitive factor trend prediction
本文献已被 CNKI 维普 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号