Ramanujan Fourier mode decomposition uses scanning from low frequency to high frequency to obtain component signals,which is prone to excessive decomposition and information dispersion,resulting in decomposed compo-nents not having a single and complete mode information. To address the above issues,this paper proposes an adaptive con-cise empirical Ramanujan decomposition (ACERD) method. In the ACERD method,the power spectral density is used to obtain the split frequency band for accurate frequency band division. Meanwhile,the Ramanujan Fourier transform is used to extract the mode components corresponding to each segmented frequency band,improve the recognition ability of period-ic components,and obtain mode components with a single periodic feature information. The analysis results of composite fault simulation signals and measured signals indicate that the ACERD method has excellent capability of frequency band segmentation and periodic pulse feature extraction,which is suitable for compound fault diagnosis.
维普
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