采用多传感器信息集成进行麻花钻状态监测和故障诊断

The Tactics of Sensor Integration for Twist Drill Condition Monitoring and Fault Diagnosing

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。

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