ConceFT在滚动轴承瞬时转频估计中的应用

马增强,阮婉莹,陈明义

振动与冲击 ›› 2019, Vol. 38 ›› Issue (19) : 131-138.

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PDF(2017 KB)
振动与冲击 ›› 2019, Vol. 38 ›› Issue (19) : 131-138.
论文

ConceFT在滚动轴承瞬时转频估计中的应用

  • 马增强,阮婉莹,陈明义
作者信息 +

Application of ConceFT in instantaneous rotating frequency estimation of rolling bearings

  • MA Zengqiang, RUAN Wanying, CHEN Mingyi
Author information +
文章历史 +

摘要

针对基于时频分析的瞬时转频估计问题及现有方法在抗噪性和估计精度方面的不足,引入一种新兴的强抗噪性的时频分析方法——时频聚集(concentration of frequency and time,ConceFT),提出ConceFT联合峰值搜索的瞬时转频估计方法。仿真实验中,测试了不同信噪比下的线调频信号和正弦调频信号的瞬时转频估计,结果表明该方法能够有效抑制强噪声干扰,准确估计瞬时转频,在信噪比大于-20dB时能保证估计误差在3%以内。该方法分别用于转速上升和转速复杂波动的滚动轴承振动信号分析,均能以高精度提取出瞬时转频曲线。与经典的短时傅里叶联合峰值搜索方法对比,在抗噪性及估计精度上均有显著提高。

Abstract

Aiming at existing methods of rolling bearings’instantaneous rotating frequency estimation based on time-frequency analysis having some problems in anti-noise property and estimation accuracy,a new time-frequency analysis method-concentration of frequency and time(ConceFT) with strong anti-noise property was introduced, the ConceFT joint peak search method was proposed to estimate rolling bearings’ instantaneous rotating frequency. In simulation tests, line frequency modulation signals and sinusoidal frequency modulation ones under different signal-to-noise ratios (SNR)were tested to estimate their instantaneous rotating frequency.Results showed that the proposed method can effectively suppress strong noise interference, and correctly estimate instantaneous rotating frequency;it can guarantee the estimation error to be within 3% when SNR is larger than -20 dB;it can be used to analyze vibration signals of rolling bearings with lifting rotating speed or fluctuating one, and can extract their instantaneous rotating frequency curve with a high precision;compared with the classical short-time Fourier joint peak search method,the proposed method is improved significantly in anti-noise property and estimation accuracy.

关键词

ConceFT / 瞬时转频估计 / 抗噪性 / 估计精度 / 滚动轴承

Key words

ConceFT / instantaneous rotational frequency estimation / anti-noise property / estimation accuracy / rolling bearing

引用本文

导出引用
马增强,阮婉莹,陈明义. ConceFT在滚动轴承瞬时转频估计中的应用[J]. 振动与冲击, 2019, 38(19): 131-138
MA Zengqiang, RUAN Wanying, CHEN Mingyi. Application of ConceFT in instantaneous rotating frequency estimation of rolling bearings[J]. Journal of Vibration and Shock, 2019, 38(19): 131-138

参考文献

[1] 潘海洋, 郑近德, 童宝宏,等. 基于稀疏带宽模态分解的变转速滚动轴承故障诊断[J]. 振动与冲击, 2017, 36(14):92-97.
   PAN Haiyang, ZHENG Jinde, TONG Baohong, et al. Fault diagnosis approach for roller bearings based on the sparse bandwidth mode decomposition under variable speed conditions [J]. Journal of Vibration and Shock, 2017, 36(14):92-97. 
[2] COMBET F, ZIMROZ R. A new method for the estimation of the instantaneous speed relative fluctuation in a vibration signal based on the short time scale transform [J]. Mechanical systems and signal processing, 2009, 23(4):1382-1397.
[3] COASTS M D, RANDALL R B. Order-tracking with and without a tacho signal for gear fault diagnostics [C]: Proceedings of Acoustics, Fremantle, Australia, 2012.
[4] 郭瑜,秦树人,汤宝平,等.基于瞬时频率估计的旋转机械阶比跟踪[J].机械工程学报,2003(03):32-36.
GUO Yu, QIN Shuren, TANG Baoping, et al. Order tracking of rotating machinery based on instantaneous frequency estimation[J].Chinese Journal of Mechanical Engineering, 2003(03):32-36.
[5] 赵晓平,赵秀莉,侯荣涛,等.一种新的旋转机械升降速阶段振动信号的瞬时频率估计算法[J].机械工程学报,2011,47(07):103-108.
ZHAO Xiaoping, ZHAO Xiuli, HOU Rongtao, et al. A new method for instantaneous frequency estimation of run-up or run-down vibration signal for rotating machinery[J]. Journal of Mechanical Engineering, 2011,47(07):103-108.
[6] Urbanek J, Barszcz T, Sawalhi N, et al. Comparison of amplitude-based and phase-based methods for speed tracking in application to wind turbines [J]. Metrology and measurement systems, 2011, XVIII(2):295-304.
[7] 罗洁思,于德介,彭富强。基于多尺度线调频基信号稀疏分解的信号分离和瞬时频率估计[J].电子学报,2010,38(10):2224-2228.
LUO Jiesi, YU Dejie, PENG Fuqiang. Signal separation and instantaneous frequency estimation based on multi-scale chirplet sparse signal decomposition[J].Acta Electronic Sinica, 2010,38(10):2224-2228.
[8] 李蓉,于德介, 陈向民,等. 基于线调频小波路径追踪算法与EEMD的齿轮箱复合故障诊断方法[J]. 振动与冲击, 2014, 33(3):51-56.
LI Rong, YU Dejie, CHEN Xiangmin, et al. A compound fault diagnosis method for gearboxes based on chirplet path pursuit and EEMD [J]. Journal of Vibration and Shock, 2014, 33(3):51-56.
[9] 程卫东, 刘东东, 赵德尊. 基于线调频小波路径追踪的滚动轴承故障特征提取[J]. 振动与冲击, 2017, 36(13):155-160.
   CHENG Weidong, LIU Dongdong, ZHAO Dezun. Fault feature extraction method for rolling bearing based on chirplet path tracing[J]. Journal of Vibration and Shock, 2017, 36(13):155-160.
[10] Wang K S, Heyns P S. An empirical re-sampling method on intrinsic mode function to deal with speed variation in machine fault diagnostics [J]. Applied soft computing, 2011,11(8):5015-5027.
[11] Daubechies I, Wang Y G, Wu H T. ConceFT: concentration of frequency and time via a multitapered synchrosqueezed transform[J]. Philos Trans A Math Phys Eng Sci, 2015, 374(2065):20150193.
[12] Daubechies I, Lu F J, Wu H T. Synchrosqueezed wavelet transforms: An empirical mode decomposition-like tool [J].Appl. Comput. Harmon. Anal., 2011, 30(02):243–261.
[13] Feng Z P, Chen X W, Wang T Y. Time-varying demodulation analysis for rolling bearing fault diagnosis under variable speed conditions[J]. Journal of Sound and Vibration, 2017, 400:71-85.
[14] 郝高岩. 基于阶次分析的滚动轴承非平稳工况故障诊断方法研究[D].石家庄铁道大学,2016.
HAO Gaoyan. Research on rolling bearing fault diagnosis in nonstationary condition based on order analysis[D].Shijiazhuang Railway University,2016.
[15] 刘永强,郝高岩,廖英英,等.一种基于Viterbi法的改进瞬时转速估计算法[J].振动.测试与诊断,2017,37(05):1018-1024+1070.
LIU Yongqiang, HAO Gaoyan,LIAO Yingying, et al. Modified method for instantaneous speed estimation based on Viterbi algorithm[J]. Journal of Vibration, Measurement and Diagnosis, 2017,37(05):1018-1024+1070.
[16] 郝高岩, 刘永强, 廖英英. 一种基于改进阶次包络谱的滚动轴承故障诊断算法[J]. 振动与冲击, 2016, 35(15):144-148.
   HAO Gaoyan, LIU Yongqiang, LIAO Yingying. A rolling bearing fault diagnosis algorithm based on improved order envelope spectrum [J]. Journal of Vibration and Shock, 2016, 35(15):144-148.

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