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阙红波,高扬,吴成攀,等. 基于扩展卡尔曼滤波和希尔伯特-黄变换瞬时频率的齿轮啮合刚度辨识算法[J]. 科学技术与工程, 2021, 21(8): 3104-3111.
Que Hongbo,gao yang,Wu Chengpan,et al.Gear meshing stiffness identification algorithm based on Extended Kalman Filter and HHT instantaneous frequency[J].Science Technology and Engineering,2021,21(8):3104-3111.
基于扩展卡尔曼滤波和希尔伯特-黄变换瞬时频率的齿轮啮合刚度辨识算法
Gear meshing stiffness identification algorithm based on Extended Kalman Filter and HHT instantaneous frequency
投稿时间:2020-06-04  修订日期:2020-11-30
DOI:
中文关键词:  参数识别  啮合刚度  卡尔曼滤波  瞬时频率  希尔伯特-黄变换
英文关键词:meshing stiffness  stiffness identification  extended kalman filter  instantaneous frequency  hht
基金项目:国家重点研发计划
           
作者单位
阙红波 中车戚墅堰机车车辆工艺研究所有限公司
高扬 中车戚墅堰机车车辆工艺研究所有限公司
吴成攀 中车戚墅堰机车车辆工艺研究所有限公司
栗华 中车戚墅堰机车车辆工艺研究所有限公司
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中文摘要:
      齿轮副是传动系统中的重要部件,齿轮在啮合过程中会出现单、双齿交替参与啮合的情况,造成齿轮啮合刚度周期变化,引起系统振动。齿轮的啮合刚度与齿轮的状态有关,当齿轮出现故障时,齿轮啮合刚度会发生变化,因此通过监测齿轮的啮合刚度就能够估计齿轮副的工作状态。本文根据齿轮副的动力学模型建立了齿轮啮合刚度的离散辨识模型,提出了基于扩展卡尔曼滤波器和希尔伯特-黄变换(HHT)瞬时频率,利用振动信号对齿轮啮合刚度进行估计的动态辨识算法。仿真和实测结果表明,所提出的方法能够跟踪辨识齿轮的啮合刚度,具有较高的辨识精度。
英文摘要:
      Gear pairs were important parts of the transmission system. During the process of meshing, the gear teeth engaged in meshing with single or double numbers alternately which result in periodic change of the meshing stiffness and caused vibration on system. Meshing stiffness related to state of gear pair, failure of gear would change the meshing stiffness. Hence, the working state of gear pairs could be estimated through monitoring the meshing stiffness. The distinct identification model of meshing stiffness of gear pair was established based on dynamic model of gear pair. The vibration signal was used in the identification algorithm of meshing stiffness of gear pairs which was based on the Extended Kalman Filter (EKF) and the instantaneous frequency of Hilbert-Huang transform (HHT). The simulation result and measured result indicate the proposed algorithm can trace the meshing stiffness of gear pair and the identifying accuracy is high.
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