| 刀具破损声发射（AE）监控系统的评价 |
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| 引用本文： | 徐亦红,曲贵民,李振加,李建平,肖瑞来. 刀具破损声发射（AE）监控系统的评价[J]. 电机与控制学报, 1996, 0(2) |
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| 作者姓名： | 徐亦红 曲贵民 李振加 李建平 肖瑞来 |
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| 作者单位： | 哈尔滨科学技术大学，牡丹江大学 |
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| 摘 要： | 应用统计模式识别理论，选择出可以确切反映监控系统性能的特征参数，对研制的刀具被损ＡＥ在线监控系统的性能进行了测试。结果表明：本监控系统的灵敏度较高，性能比较可靠，在测试条件下预报刀具破损的检出率为８８．９％，故可在较好程度上对刀具的破损进行监控。
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| 关 键 词： | 刀具玻损，声发射，统计模式识别 |
The Assessment of Cutter Damage AE System |
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| Xu Yihong,Qu Guimin,Li Zhenjia,Li Jianping. The Assessment of Cutter Damage AE System[J]. Electric Machines and Control, 1996, 0(2) |
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| Authors: | Xu Yihong Qu Guimin Li Zhenjia Li Jianping |
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| Affiliation: | Xu Yihong;Qu Guimin;Li Zhenjia;Li Jianping(Harbin University of Science and Technology)Xiao Ruilai(Mudanjiang University) |
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| Abstract: | Using statistic pattern recognition theory,characteristic parameters which reflect supervisory system property exactly are chosen.Using this method,the property of cutter damage acoustic emission manufactured in linear supervisory system is tested.The result states this sensitivity of supervisory system is higher and property is more reliable.The prediction rate under the test condition is 88.9%,so it can supervise the cutter damage to a better extent. |
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| Keywords: | cutter damage acoustic emission statistic pattern recognition |
| 本文献已被 CNKI 等数据库收录！ |
