彭利平, 刘初升, 王宏. 基于刚度反演的大型振动筛减振弹簧健康识别[J]. 煤炭学报, 2016, (6). DOI: 10.13225/j.cnki.jccs.2015.1200
引用本文: 彭利平, 刘初升, 王宏. 基于刚度反演的大型振动筛减振弹簧健康识别[J]. 煤炭学报, 2016, (6). DOI: 10.13225/j.cnki.jccs.2015.1200
PENG Li-ping, LIU Chu-sheng, WANG Hong. Health identification for damping springs of large vibrating screen based on stiffness identification[J]. Journal of China Coal Society, 2016, (6). DOI: 10.13225/j.cnki.jccs.2015.1200
Citation: PENG Li-ping, LIU Chu-sheng, WANG Hong. Health identification for damping springs of large vibrating screen based on stiffness identification[J]. Journal of China Coal Society, 2016, (6). DOI: 10.13225/j.cnki.jccs.2015.1200

基于刚度反演的大型振动筛减振弹簧健康识别

Health identification for damping springs of large vibrating screen based on stiffness identification

  • 摘要: 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。

     

    Abstract: 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.

     

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