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提出一种滑动轴承油膜参数识别的最小二乘新算法，建立识别模型，采用小波分析技术获得响应的基频成分，进行试验识别，结果表明该方法能有效地抑制测量误差的影响，提高参数识别精度。
A new least-squares algorithm for oil film parameter identification of sliding bearing was proposed. The recognition model was established and the fundamental frequency components of response were obtained by wavelet analysis. The experimental results show that the proposed method can effectively reduce the influence of measurement error and improve the parameter identification Accuracy.