Study on spectrum analysis of vibration signal based on overlap processing

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Journal of Vibration and Shock ›› 2017, Vol. 36 ›› Issue (16) : 218-223.

Yan bingsheng1 Zhao junjie1 Tang baoping2

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Abstract

A relative maximum extraction algorithm was submitted and combined with overlap processing method to detect the pulse signal in the edge of a time series. The pulse signal was often suppressed in case of hanning, hamming and triangular windows, with a low side-lobe, used in spectrum analysis of vibration signal processing. But the pulse signal always contained some important information of a running machine. Signals produced by function generator and machine fault simulator(MFS-MG) were used in the above signal processing method. It shows that the overlap processing spectrum result of virtual simulation test is about 8 to 10 times to the result from traditional spectrum analysis. And the overlap processing spectrum of pulse signal which produced by MFS-MG can be unfold clearly, especially when it’s compared with traditional spectrum analysis.

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overlap processing / relative maximum extraction / spectrum analysis / vibration test

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Yan bingsheng1 Zhao junjie1 Tang baoping2. Study on spectrum analysis of vibration signal based on overlap processing[J]. Journal of Vibration and Shock, 2017, 36(16): 218-223

References

[1] Lotfi Saidi, Jaouher Ben Ali, Farhat Fnaiech. Application of higher order spectral features and support vector machines for bearing fault sclassification[J]. ISA Transactions,2015,54(1):193-206
[2] Boštjan Dolenc, Pavle Boškoski, Đani Juričić. Distributed bearing fault diagnosis based on vibration analysis[J]. Mechanical Systems and Signal Processing,2016,66(67): 521-532
[3] H Saruhan, S Sandemir, A Çiçek, et al. Vibration Analysis of Rolling Element Bearings Defects[J]. Journal of Applied Research and Technology,2014,12(3):384-395
[4] 王艳丰,朱靖,滕光蓉等.航空发动机转子早期裂纹故障振动特征的维谱分析[J].振动与冲击,2015,34(1),88-93
WANG Yan-feng, ZHU Jing, TENG Guang-rong, et al. －dimension spectrum analysis on early cracked fault characters of aero engine rotors[J]. Journal of Vibration and Shock,2015,34(1),88-93
[5] M W TRETHEWEY. WINDOW AND OVERLAP PROCESSING EFFECTS ON POWER ESTIMATES FROM SPECTRA[J]. Mechanical Systems and Signal Processing, 2000,14(2):267-278
[6] 明建成,祁舒喆.实时频谱分析仪中重叠帧频谱分析技术研究[J].电子测量技术(理论与算法),2013,36(12),32-34
Ming Jiancheng, Qi Shuzhe. Study of overlapping frames spectrum analysis techniques in real-time spectrum analyzer[J]. Electronic Measurement Technology, 2013,36(12),32-34
[7] 杨凯,邹耘,尹路明.重叠加窗FFT频域抗干扰算法设计[J].测绘科学技术学报,2013,30(3),228-231
YANG Kai, ZOU Yun, YIN Luming.Design of Frequency Domain Anti-Jamming AlgorithmBased on Overlap Windowed FFT[J]. Journal of Geomatics Science and Technology,2013,30(3),228-231
[8] Brincker. Rune, Brandt. Anders, FFT integration of time series using an overlap-add technique[C]. 28th IMAC, A Conference on Structural Dynamics, Jacksonville, FL, United states, 2010 : 1467-1474
[9] Wang Sichun, Inkol Robert, Rajan Sreeraman, Patenaude Francois. A comparison of the normalized detection threshold for the overlapped and non-overlapped FFT summation detectors[C]. 2011 Canadian Conference on Electrical and Computer Engineering, Niagara Falls, ON, Canada, 2011 : 000136-000141
[10] Uchida Shoya, Sato Akihiro, Inamori Mamiko, et al. Overlapped FFT scheme with frames of non-continuous samples[C]. 2012 IEEE International Conference on Communication Systems, ICCS 2012, 2012:90-94