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作 者:周江建 刘宇晨 ZHOU Jiangjian;LIU Yuchen(Jiangsu Zhongyan Industry Co.,Ltd.,Nanjing 210009,China)
机构地区:[1]江苏中烟工业有限责任公司,江苏南京210009
出 处:《机械制造与自动化》2022年第3期244-247,共4页Machine Building & Automation
摘 要:目前使用的烟草车间传送设备齿轮磨损预警方法筛选能力较弱,导致预警效率较低。为了解决上述问题,设计一种新的烟草车间传送设备齿轮磨损智能预警方法,通过分析烟草车间传送设备内部结构,确定烟草车间传送设备齿轮之间的关联性,通过研究摩擦力、力矩、啮合力建立齿轮磨损振动力学模型,得到齿轮的受力状况。根据齿轮振动速度响应时域波形、齿轮振动速度频谱得到振动信号相平面,筛选齿轮振动磨损特征。利用烟草车间传送设备齿轮故障树发送预警信号,实现智能预警。实验结果表明:该方法能够有效提高筛选能力,增强预警效率。To solve the lower early-warning efficiency due to weak screening capability by current early-warning methods for gear wear of transmission equipment in tobacco workshops,a new intelligent early warning method for gear wear of conveying equipment in the tobacco workshop is designed.By analyzing the internal structure of conveying equipment in the tobacco workshop,the correlation between the gears of conveying equipment in the tobacco workshop is determined.Through the study of the friction,moment and meshing,a gear wear vibration mechanics model is established to obtain the force condition of the gear.According to the gear vibration velocity response time-domain waveform and the gear vibration velocity spectrum,the vibration signal phase plane is obtained,and the gear vibration wear characteristics are screened.The gear fault tree of the transmission equipment of the tobacco workshop is applied to send early warning signals for the realization of intelligent early warning.The experimental results show that the designed method can effectively improve the screening ability and enhance the early warning efficiency.
关 键 词:烟草车间 传送设备 齿轮磨损 智能预警 预警方法
分 类 号:TP277.1[自动化与计算机技术—检测技术与自动化装置]
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