关键词: OTPA；奇异值分解；平均加窗周期图法；路径贡献

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