Autor: |
Wang, Yukui, Huang, Zhijie, Zhao, Xucheng, Zhu, Yi, Wei, Dongtao |
Zdroj: |
Journal of Shanghai Jiaotong University (Science); Jun2016, Vol. 21 Issue 3, p297-306, 10p |
Abstrakt: |
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. [ABSTRACT FROM AUTHOR] |
Databáze: |
Complementary Index |
Externí odkaz: |
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