摘要
利用神经网络建立了磨削过程计算机集成智能监控系统,该系统将磨削过程监测、故障诊断和反馈控制组成一个有机整体。通过在线提取磨削声发射(AE)信号RMS峰值、FFT峰值、信号标准偏差以及信号累积幅值增量,可以实现磨削烧伤、磨削颤振、砂轮钝化等故障的在线实时诊断。通过反馈控制系统实现磨削参数的实时调整,提高了磨削加工的性能、效率和磨削质量的稳定性。实测结果证明了该系统的有效性。
Computer integrated intelligent monitoring and controlling system for grinding process was built based on neural network. This system integrated monitoring, failure diagnosis and feedback control together, and the online failure diagnosis of grinding burning, chatter and grinding wheel dull states can be realized by collecting the feature values of RMS peak, FFT peak, standard deviation and the accumulation of AE signal amplitude increments. The grinding parameters can be adjusted online through feedback control, thus, the good grinding performance, high grinding efficiency and stable grinding quality can be realized. Test results indicate the validity of this system.
出处
《中国机械工程》
EI
CAS
CSCD
北大核心
2005年第20期1843-1845,1850,共4页
China Mechanical Engineering
基金
山东省中青年科学家奖励基金资助项目(2004BS05012)
教育部科学技术研究重点项目(200032)
关键词
磨削过程
智能监测
故障诊断
智能控制
神经网络
grinding process
intelligent monitoring
failure diagnosis
intelligent control
neural network
