Improved Hilbert-Huang Transform and Its Applications to Rolling Bearing Fault Diagnosis

2015 Journal of Mechanical Engineering  
Abstract:Hilbert-Huang transform (HHT) is an excellent time-frequency analysis method, which contains empirical mode decomposition (EMD) and Hilbert transform (HT). A given signal is decomposed by EMD and then each of the obtained intrinsic mode functions (IMFs) is demodulated by HT. Aim to solve the problems of envelope errors, mode mixing and end effort of EMD method and negative frequency of HT, an improved HHT method (IHHT) is proposed, which contains generalized EMD (GEMD) and improved
more » ... ct quadrature (IDQ) demodulation. By GEMD several different IMFs are obtained by defining different mean curves and in each rank the best IMF is selected. The improved empirical AM-FM decomposition and IDQ are used to demodulate the component. The proposed method improved the accuracy of decomposition and demodulation and restrained the end effort. IHHT is applied to rolling bearing experiment data and the analysis results indicate that IHHT is an effective signal processing method. Key words:generalized empirical mode decomposition (GEMD);Hilbert-Huang transform;instantaneous frequency;rolling bearing;fault diagnosis 月 2015 年 1 月 郑近德等:改进的希尔伯特-黄变换及其在滚动轴承故障诊断中的应用 139
doi:10.3901/jme.2015.01.138 fatcat:v7z67r656nboxf5dfa4cyilday