计算机集成制造系统 ›› 2021, Vol. 27 ›› Issue (1): 182-191.DOI: 10.13196/j.cims.2021.01.017

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基于滑动窗变步长等变自适应源分离的线性慢时变结构工作模态参数识别

黄海阳1,王成1+,李海波1,赖雄鸣2,缑锦1,张惠臻1   

  1. 1.华侨大学计算机科学与技术学院
    2.华侨大学机电及自动化学院
  • 出版日期:2021-01-31 发布日期:2021-01-31
  • 基金资助:
    国家自然科学基金资助项目(51305142,61502181);中国博士后科学基金资助项目(2014M552429);福建省高校青年自然基金重点资助项目(JZ160409);泉州市科技计划资助项目(20182008,2018C110R,2017G019);华侨大学研究生科研创新基金资助项目(17013083018)。

Moving window variable step-size EASI based operational modal parameter identification for slow linear time-varying structure

  • Online:2021-01-31 Published:2021-01-31
  • Supported by:
    Project supported by the National Natural Science Foundation,China(No.51305142,61502181),the Postdoctoral Science Foundation,China(No.2014M552429),the Natural Foundation Key Program for Young Scholars in the Universities of Fujian Province,China(No.JZ160409),the Science and Technology Plan of Quanzhou City,China(No.2018Z008,2018C110R,2017G019),and the Postgraduates' Innovative Fund in Scientific Research of Huaqiao University,China(No.17013083018).

摘要: 为了仅从非平稳振动响应信号中在线识别线性慢时变弱阻尼结构的时变和瞬态的模态参数,提出一种基于滑动窗变步长等变自适应源分离(MWVEASI)的工作模态参数识别方法。该方法采用固定窗长技术,使得非平稳振动响应信号在每个窗内可近似看作是平稳的随机序列,线性慢时变结构可看作多个时不变结构。在每个窗内,再利用变步长的EASI算法识别出该时段内的模态振型和固有频率作为最中间时刻的瞬时模态参数。最后移动窗口,得到线性时变结构的整个时段的工作模态参数。在质量慢时变的三自由度弹簧振子结构的仿真数据集上的识别结果表明,两种不同的MWVEASI方法都能够很好地识别线性慢时变结构的模态振型、固有频率,与滑窗固定步长EASI、变步长EASI算法相比,MWVEASI能够更好地跟踪时变特性,识别精度高、收敛速度快。

关键词: 工作模态参数识别, 线性慢时变结构, 滑动窗, 等变自适应源分离, 变步长

Abstract: To identify the transient and time-varying modal parameters of Slow Linear Time-Varying (SLTV) structures with weakly damped online only from non-stationary vibration response signals,a Moving Window Variable step-size Equivariant Adaptive Separation via Independence (MWVEASI) based operational modal identification method was proposed.Through the fixed length window technique in MWVEASI,non-stationary vibration response signals could approximately be seen as stationary random time series in each window and SLTV structures could approximately be seen as multiple linear time-invariant structures.In each window,the variable step-size EASI algorithm was used to estimate the modal shapes and natural frequencies as the transient modal parameters at the middle moment.The whole time period time-varying modal parameters of the SLTV structure were obtained through moving the window.The identification results on simulation data of the three-degree-freedom spring oscillator structure with slow time-varying mass showed that two different MWVEASI methods could well identify the modal shapes and natural frequencies of SLTV structures.Compared with moving window fixed-step EASI and variable-step EASI,MWVEASI had better tracking time-varying characteristics,higher recognition accuracy and faster convergence.

Key words: operational modal parameter identification, slow linear time-varying structure, moving window, equivariant adaptive separation via independence, variable-step

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