Time-frequency analysis technique for the vibration signals of high-speed friction braking interface

WANG Feng1,WANG Wenjian1,2,LIU Qiyue1,GUO Jun1

Journal of Vibration and Shock ›› 2017, Vol. 36 ›› Issue (2) : 89-94.

PDF(2123 KB)
PDF(2123 KB)
Journal of Vibration and Shock ›› 2017, Vol. 36 ›› Issue (2) : 89-94.

Time-frequency analysis technique for the vibration signals of high-speed friction braking interface

  • WANG Feng1,WANG Wenjian1,2,LIU Qiyue1,GUO Jun1
Author information +
History +

Abstract

The experiments on high-speed friction braking were carried out using a MM-1000 frictional braking machine. The vibration signals in both axial and radial directions were recorded by a three-dimensional acceleration sensor during the friction braking process. The morlet wavelet transformation was used to analyze the vibration signals under different braking pressure and dry and wet conditions. A vibration behaviour analysis technique for high-speed friction braking interface based on time-frequency method was explored by virtue of the change of instantaneous friction coefficient. The results indicate that the resampling of original vibration signal could reduce the amount of calculation and has no obvious influence on the time-frequency analysis of low frequency signals. The Morlet wavelet transformation has better resolution ratio and treatment efficiency compared to the short-time Fourier transformation and Hilbert Huang transformation (HHT) for the vibration signals of braking interface. The slope on the time-frequency map is correlated with the rotating speed in braking process and this indicates that the decelerating process of high-speed friction braking is linear. The combination of instantaneous friction coefficient and time-frequency map could be used to evaluate the change of interface condition of high-speed friction braking. The energy of vibration mainly focuses in the fundamental frequency and the second and third harmonic generations and there is only a little energy in higher harmonic generations.

Key words

high-speed friction braking / vibration signal / wavelet transformation (WT) / short-time Fourier transformation (STFT)

Cite this article

Download Citations
WANG Feng1,WANG Wenjian1,2,LIU Qiyue1,GUO Jun1. Time-frequency analysis technique for the vibration signals of high-speed friction braking interface[J]. Journal of Vibration and Shock, 2017, 36(2): 89-94

References

[1] 李继山. 高速列车合金锻钢制动盘寿命评估研究[D]. 北京:铁道科学研究院,2006.
[2] 农万华. 基于闸片结构的列车盘形制动温度和应力的数值模拟及试验研究[D]. 大连:大连交通大学,2012.
[3] 陈光雄,刘启跃,金学松,等. 时滞摩擦尖叫噪声模型的稳定性研究[J]. 振动与冲击,2008,27(4):58-62.
    CHEN Guang-xiong, LIU Qi-yue, JIN Xue-song, et al. Stability of a squealing noise model with time delay [J]. Journal of Vibration and Shock, 2008, 27(4): 58-62.
[4] 张立军,刁坤,孟德建,等. 摩擦引起的振动和噪声的研究现状与展望[J]. 同济大学学报(自然科学版),2013,41(5):765-769.
    ZHANG Li-jun, DIAO Kun, MENG Jian-de, et al. Friction-induced Vibration and Noise Research: the Status Quo and Its Prospect [J]. Journal of Tongji University(Natural Science), 2013, 41(5): 765-769.
[5] 梁爽. 车辆制动摩擦特性及摩擦颤振的研究[D]. 成都:西南交通大学,2005.
[6] 杨世锡,胡劲松,吴昭同,等. 旋转机械振动信号基于EMD的希尔伯特变换和小波变换时频分析比较[J]. 中国电机工程学报,2003,23(6):102-107.
    YANG Shi-xi, HU Jing-song, WU Zhao-tong, et al. The comparison of vibration signals’ time-frequency analysis between EMD-based HT and WT method in rotating machinery [J]. Proceedings of the CSEE, 2003, 23(6): 102-107.
[7] 杨福生. 小波变换的工程分析与应用[M]. 北京:科学出版社,1999.
[8] 段晨东. 基于第二代小波变换的混合小波降噪方法[J]. 中国机械工程,2007,18(14):1700-1702.
    DUAN Chen-dong. Hybrid wavelet denosing approach using second generation wavelet transform [J]. China Mechanical Engineering, 2007, 18(14): 1700-1702.
[9] Mallat S G. Multifsequency channel decompositions of images and wavelet models [J]. Acoustics, Speech and Signal Processing, IEEE Transactions on, 1989, 37(12): 2091-2110.
[10] Newland D E. Harmonic wavelet analysis[C]. Proceedings of the Royal Society of London. Series A: Mathematical and Physical Sciences, 1993, 443(1917): 203-225.
[11] Xiong Z, Ramchandran K, Herley C, et al. Flexible tree-structured signal expansions using time-varying wavelet packets [J]. Signal Processing, IEEE Transactions on, 1997, 45(2): 333-345.
[12] Sweldens W. The lifting scheme: A construction of second generation wavelets [J]. SIAM Journal on Mathematical Analysis, 1998, 29(2): 511-546.
[13] Daubechies I, Sweldens W. Factoring wavelet transforms into lifting steps [J]. Journal of Fourier analysis and Applications, 1998, 4(3): 247-269.
[14] 唐向宏,李齐良. 时频分析与小波变换[M]. 北京:科学出版社,2008.
[15] 纪跃波,秦树人. 基于多分辨分析的时频分析[J]. 振动与冲击,2002,21(1):12-15.
    JI Yue-bo, QIN Shu-ren. The impact response of the small cylindrical structure suffered from underwater explosion [J]. Journal of Vibration and Shock, 2002, 21(1): 12-15.
[16] 郑建明,李言,肖继明,等. 伸缩窗口短时Fourier分析[J]. 振动、测试与诊断,2000,20(4):254-258.
    ZHENG Jian-ming, LI Yan, XIAO Ji-ming, et al. Short-Time-Fourier analysis based on dilating window [J]. Journal of Vibration, Measurement and Diagnosis, 2000, 20(4): 254-258.
[17] Huang N E,Shen Z, Long S R, et al.The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysi s[J]. Proc. R. Soc. Lond. 1998, A: 903-995.
PDF(2123 KB)

Accesses

Citation

Detail

Sections
Recommended

/