Robust Amplitude Exponential Adaptive Method for Spectral Amplitude Modulation

LIN Yun; GUO Yu; LIU Zhen

doi:10.13433/j.cnki.1003-8728.20200578

Volume 42 Issue 1

Jan. 2023

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Article Navigation > Mechanical Science and Technology for Aerospace Engineering > 2023 > 42(1): 53-58

LIN Yun, GUO Yu, LIU Zhen. Robust Amplitude Exponential Adaptive Method for Spectral Amplitude Modulation[J]. Mechanical Science and Technology for Aerospace Engineering, 2023, 42(1): 53-58. doi: 10.13433/j.cnki.1003-8728.20200578

Citation:

LIN Yun, GUO Yu, LIU Zhen. Robust Amplitude Exponential Adaptive Method for Spectral Amplitude Modulation[J]. Mechanical Science and Technology for Aerospace Engineering, 2023, 42(1): 53-58. doi: 10.13433/j.cnki.1003-8728.20200578

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Robust Amplitude Exponential Adaptive Method for Spectral Amplitude Modulation

doi: 10.13433/j.cnki.1003-8728.20200578

Faculty of Mechanical and Electrical Engineering, Kunming University of Science and Technology, Kunming 650500, China

Received Date: 2021-02-21
Publish Date: 2023-01-25

Abstract

Abstract

The spectrum amplitude modulation (SAM) method, which was proposed recently, can be used to do the feature extraction of different fault signals by adjusting the exponential of amplitude adaptively, and it has a quite good practical perspective. However, the exponential of amplitude of this method still needs to be judged manually, which leads to the result that it can not be used to extract the fault features automatically. Moreover, when the fault features are interfered by complex disturbances, it is difficult to select the optimal exponential of amplitude manually. Therefore, a robust amplitude exponential adaptive spectral amplitude modulation method is proposed in this paper. Firstly, the signal is converted to angular domain by angle domain resampling, and then the shock characteristics generated by the faulty planet bearing are enhanced by the multipoint optimal minimum entropy deconvolution adjusted (MOMEDA). Finally, the exponential of cepstrum amplitude in SAM is adaptively selected with ICS₂ (indicator of second order cyclostationary). The cepstrum signal is calculated by the optimal exponential of amplitude, in this way, the problem that the SAM method cannot automatically extract fault features is solved. The fault feature extraction of inner race of planetary bearing is verified. Experimental results show that the proposed method can adaptively extract fault features of inner race of planetary bearing under complex interference.
- spectral amplitude modulation,
- robustness,
- adaptation,
- second order cyclostationary index,
- planetary bearing

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References(15)

References

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