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Fault Diagnosis of Roller Bearings Base on FDK Method and Hilbert Spectrum
並列摘要
In the paper, a new method based on the combination of Hilbert with frequency domain kurtosis (FDK) which can filter out the fault signals and extract the characteristic signal of interest. The Hilbert and FDK will be introduced, and we will optimize the FDK which is more accurate and superior than traditional algorithm in the extraction of fault signals. By applying the method to the practical roller bearing vibration signals, the results show that the method is more advantageous to extract fault signals and reduce the influence of interfering components in the background noise.
被引用紀錄
Wei, S. K. (2012). 基於整體經驗模式分解的集群分析 [master's thesis, National Taiwan Normal University]. Airiti Library. https://www.airitilibrary.com/Article/Detail?DocID=U0021-1610201315274168
延伸閱讀
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- Li, P. (2019). Fault Diagnosis of Motor Rolling Bearing Based on GWO-SVM. International Core Journal of Engineering, 5(10), 238-245. https://doi.org/10.6919/ICJE.201909_5(10).0035
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