Abstract: In order to improve the low accuracy and data coupling in the practical application of operational transfer path analysis (OTPA), this paper proposes a method of OTPA based on the average plus window periodogram method. The time domain data of input and output responses are intercepted and analyzed by using the weighted function and namely window function, which enhances the periodicity of the Fourier transform of the signal, improves the leakage phenomenon in the frequency domain analysis of the data, and applies the truncated singular value decomposition method to decouple the input response signal to improve the accuracy of the transfer rate calculation. Finally, the improved transfer path analysis method is applied to the vibration analysis of the main driver's seat of an electric vehicle. The fitted response spectrum of the target point has a high degree of overlap with the real spectrum of the target point, and the main vibration sources are successfully identified, which provides a theoretical basis for the vibration reduction of the main driver's seat of an electric vehicle.

Key words: OTPA; Singular value decomposition; Mean plus window periodogram method; Path contribution

摘要： 为改善工况传递路径分析（OTPA）在实际应用过程中精度较低，存在数据耦合的现象， 文章提出了一种基于平均加窗周期图法的 OTPA 方法。利用加权函数即窗函数对输入、输出 响应的时域数据进行截取分析，增强信号傅里叶变换时的周期性，改善数据频域分析出现的 泄露现象，并应用截断奇异值分解法对输入响应信号进行解耦，提高传递率计算精度。最后 将改进的工况传递路径分析方法应用于某电动汽车主驾驶座椅振动分析，拟合出的目标点响 应频谱与目标点真实频谱重合度较高，且成功识别出主要振动源，为电动汽车主驾驶座椅减 振工作提供了理论依据。

关键词: OTPA；奇异值分解；平均加窗周期图法；路径贡献