采用多传感器信息集成进行麻花钻状态监测和故障诊断
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引用本文:王书庆,孙仲鸣,杨艺华.采用多传感器信息集成进行麻花钻状态监测和故障诊断[J].钻探工程,1998,(5):24-25.
. The Tactics of Sensor Integration for Twist Drill Condition Monitoring and Fault Diagnosing[J]. Drilling Engineering, 1998,(5):24-25.
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王书庆  孙仲鸣  杨艺华
中国地质大学勘察与建筑工程学院
中文摘要:提出了一种采用多传感器信息集成的方法来进行麻花钻状态监测和故障诊断的思路并给出了模型。此模型中,信息集成所采用的传感器为:力传感器、声发射传感器和温度传感器;故障诊断可采用的方法为:人工神经网络、模糊诊断和灰色关联度诊断。
中文关键词:传感器,麻花钻,状态监测,故障诊断
 
The Tactics of Sensor Integration for Twist Drill Condition Monitoring and Fault Diagnosing
Wang Shuqing Sun Zhongming Yang Yihua
China University of Geo sciences Wuhan 430074
Abstract:The article introduces a model about sensor integration for twist drill condition monitoring and fault diagnosing In the model,the sensors are: force sensor, acoustic emission sensor and temperature sensor, and the methods of fault diagnosis are artificial neural network, fuzzy diagnosis and grey relation diagnosis
keywords:sensor, twist drill, condition monitoring, fault diagnosis
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