基于贝叶斯网络的磨削智能声发射监控系统研究

Research on the Grinder Intelligent Monitoring with Acoustic Emission Based on Bayesian Networks

1.
Department of Mechanical Engineering, Wenzhou Vocational and Technical College, Wenzhou 325035;
2.
Department of Mechanical Engineering, Zhejiang University, Hangzhou 310027

摘要: 磨削过程中的声发射信号和砂轮状态及磨削状态有着很强的关联性,为了更好的实现磨削过程的智能监控,通过构建贝叶斯网络来分离及辨识声发射信号,搭建了贝叶斯网络的声发射磨削智能监控系统,并进行了磨削实验。结果表明:构建的贝叶斯网络可以有效的实现磨削过程中工件粗糙度预测、砂轮钝化和接触识别。
- 磨削监控 /
- 声发射 /
- 贝叶斯网络
Abstract: There is strong relationship between the acoustic emission and the states of the wheel and grinding. The Bayesian networks were used to separate and identify the acoustic emission signal for the better intelligent monito-ring of grinding. The grinder intelligent monitoring system based on Bayesian networks was established and grinding experiments were performed. The results show that thesyatem can predict the surface roughness of grinding work-pieces, blunt level and the contact states of grinding wheel.
- acoustic emission /
- grinder intelligent monitoring /
- bayesian networks

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