基于分数阶傅里叶滤波的电动助力器故障检测

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摘要由于强噪声环境的影响，在阶次跟踪（Order Tracking）分析中，电动助力器内的齿轮变速运转产生的振动信号无法准确反映故障信号，为解决这一情况，用含噪声的线性调频信号模拟电动助力器变速运转产生的非平稳信号，通过分数阶傅里叶变换（Fractional Fourier Transform）和分数阶傅里叶域带通滤波器（Fractional Fourier Domain Bandpass Filter）对其进行滤波操作，对比滤波前后信号频谱图，验证分数阶傅里叶滤波（Fractional Fourier Filter）能够较准确的滤除非平稳信号中的噪声分量。基于该仿真实验所得结论，提出针对电动助力器变速转动产生的振动信号进行故障检测效果的优化方法，通过对实际测得的电动助力器电机减速运转产生的振动信号进行分数阶傅里叶滤波，对比滤波前后信号阶次跟踪谱图效果，验证该滤波方法对强噪声环境下测得的齿轮故障信号具有较好的滤波效果，具有一定的实用价值和普适性。

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	黄铭
	 郑永军
	汪洋百慧

关键词 ：分数阶傅里叶滤波, 阶次跟踪, 非平稳信号, 强噪声

Abstract：Due to the influence of strong noise environment, in order tracking analysis, vibration signal generated due to gears variable speed operation in an electric booster can’t accurately reflect fault signal.Aiming at this situation, the linear frequency modulation signal with noise was used to simulate the nonstationary signal produced by variable speed operation of the electric booster.The non-stationary signal was filtered with a fractional Fourier transform and a fractional Fourier domain bandpass filter.The signal spectra before and after filtering were compared to verify that the fractional Fourier filtering can filter out noise component of the non-stationary signal more accurately.Based on conclusions obtained with simulation, an optimization method for fault detection effect of vibration signal generated by variable speed operation of the electric booster was proposed.The fractional Fourier filtering was performed for the actually measured vibration signal generated due to decelerating operation of the electric booster motor.Comparing the signal’s order tracking spectra effects before and after filtering, it was verified that the proposed filtering method has a better filtering effect on gear fault signals measured under strong noise environment; it has a certain practical value and universality.

Key words： fractional Fourier filtering order tracking non-stationary signal strong noise

收稿日期: 2019-06-05 出版日期: 2020-11-28

引用本文:

黄铭, 郑永军,汪洋百慧. 基于分数阶傅里叶滤波的电动助力器故障检测[J]. 振动与冲击, 2020, 39(23): 263-270.
HUANG Ming, ZHENG Yongjun, WANGYANG Baihui. Fault detection of electric booster based on fractional Fourier filtering. JOURNAL OF VIBRATION AND SHOCK, 2020, 39(23): 263-270.

链接本文:

http://jvs.sjtu.edu.cn/CN/ 或 http://jvs.sjtu.edu.cn/CN/Y2020/V39/I23/263

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