A novel de-noising method based on discrete cosine transform and its application in the fault feature extraction of hydraulic pump |
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Authors: | Yukui Wang Zhijie Huang Xucheng Zhao Yi Zhu Dongtao Wei |
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Institution: | 1.Air Force Logistics College of PLA,Xuzhou,Jiangsu, China;2.Ordnance Engineering College of PLA,Shijiazhuang,China |
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Abstract: | Aiming at the existing problems of discrete cosine transform (DCT) de-noising method, we introduce the idea of wavelet neighboring coefficients (WNC) de-noising method, and propose the cosine neighboring coefficients (CNC) de-noising method. Based on DCT, a novel method for the fault feature extraction of hydraulic pump is analyzed. The vibration signal of pump is de-noised with CNC de-noising method, and the fault feature is extracted by performing Hilbert-Huang transform (HHT) to the output signal. The analysis results of the simulation signal and the actual one demonstrate that the proposed CNC de-noising method and the fault feature extraction method have more superior ability than the traditional ones. |
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