Multi-frequency identification method in signal processing

Authors:
Sanxing Zhao;Fengcai Wang;Hua Xu;Jun Zhu
Affiliations:
Institute of Mechanical and Biomedical Engineering, Wuhan University of Science and Technology, Wuhan 430081, China;Institute of Mechanical and Biomedical Engineering, Wuhan University of Science and Technology, Wuhan 430081, China;Theory of Lubrication and Bearing Institute, Xi'an Jiaotong University, Xi'an 710049, China;Theory of Lubrication and Bearing Institute, Xi'an Jiaotong University, Xi'an 710049, China
Venue:
Digital Signal Processing
Year:
2009

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Abstract

Virtually vibration signals are always composed of many frequency components. Using the least squares method, a new multi-frequency identification algorithm has been proposed to identify the amplitude and phase of each component of a multi-frequency signal, and it will work well as long as the main frequency values are known. Based on this algorithm, two similar optimization procedures have been presented to obtain accurate frequency values for a sine-wave signal and a bi-tone signal, respectively. Assisted with band-pass filters and these optimization procedures, the multi-frequency identification algorithm can successfully identify the multi-frequency components of a signal. The multi-frequency identification method can be used to identify oil-film coefficients of journal bearing. And some reliable oil-film coefficients have been reached.