1. College of Mechanical and Electrical Engineering,Hohai University,Changzhou　 213022,China;2. School of Mechatronic Engineering,China University of Mining and Technology,Xuzhou　 221116,China;3. Tangshan Research Institute,China Coal Technology and Engineering Group Corp. ,Tangshan　 063012, China

针对已有的大型振动筛减振弹簧定性健康识别的局限性,提出了1种利用筛体自由振动响应实现大型振动筛减振弹簧刚度反演的方法。考虑减振系统几何位置误差,建立了减振弹簧故障下振动筛非对称动力学模型,推导其振动微分方程;利用离散加速度自由响应,结合数字滤波、趋势项消除和数值积分方法,获取系统刚度矩阵修正形式;在此基础上,通过刚度矩阵分解,定义刚度置信准则,提出了大型振动筛减振弹簧刚度反演原理与方法;利用实验测试数据实现了振动筛减振弹簧的刚度反演,最大误差仅为3.56%,表明了算法的有效性,实现了减振弹簧定量的健康状态识别。

In order to overcome the limitation of qualitatively health identification for damping springs of large vibrating screen (LVS),a diagnostic methodology for identifying the stiffness of damping springs with free response was pro- posed. With the geometric position error of the damping system considered,the asymmetric dynamic model of the vibra- tion screen with damping spring fault was established and followed by deriving the vibration differential equation. Then,the discrete free acceleration response data were processed by digital filter,eliminating the trend item and nu- merical integration,and subsequently constructed in a matrix form to obtain the modified stiffness matrix. Moreover, with disassembling stiffness matrix and defining the stiffness assurance criterion,the principle and procedures for stiff- ness identification of a large vibrating screen was summarized. Finally,the validity of the developed method for stiffness identification was verified by an experimental test and the error is within 3. 56% . The research may accomplish the quantitatively health identification for the damping springs of large vibrating screen.

国家自然科学基金资助项目(51221462)；中央高校基本科研业务费专项资金资助项目(2015B30214)；中国博士后科学基金面上资助项目(2016M590514)；

Peng Liping,Liu Chusheng,Wang Hong. Health identification for damping springs of large vibrating screen based on stiffness identification [J]. Journal of China Coal Society,2016,41(6):1568-1574.