Fault feature extraction of gear tooth crack of planetary gear-box based on constructing vibration separation signals and synchronous average

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Journal of Vibration and Shock ›› 2018, Vol. 37 ›› Issue (5) : 142-147.

Zhao Lei, Guo Yu, Wu Xing

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Abstract

Planet gear’s planetary motion causes time-varying vibration transmission path in a planetary gear box, its vibration responses are essentially different from those of conventional fixed-axis gearboxes, the traditional synchronous average method can’t be directly applied in a planetary gear-box. In order to solve this problem, the windowed synchronous averaging method developed abroad can effectively overcome the variable transmission path of planetary gear-box vibration. Here, the principle and realization for fault feature extraction of gear tooth crack of planetary gear-box were presented in detail based on constructing vibration separation signals and synchronous average. With this method, the characteristic of gear’s mesh tooth sequence was verified firstly. According to the characteristic of tooth sequence, the appropriate window function was selected to perform window interception of signals. Then the target gear’s vibration signals were constructed according to the rearranged gear tooth sequence and window intercepted signals. Finally, the synchronous average of vibration separation signals was done. The analysis for the actual measured signals of tooth root crack of a planetary gear-box showed that the presented method can be used to effectively extract fault features of a planetary gear-box.

Key words

planetary gear-box / tooth root crack / vibration separation method / synchronous average

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Zhao Lei, Guo Yu, Wu Xing . Fault feature extraction of gear tooth crack of planetary gear-box based on constructing vibration separation signals and synchronous average[J]. Journal of Vibration and Shock, 2018, 37(5): 142-147

References

[1] 雷亚国,林京,何正嘉.基于多传感器信息融合的行星齿轮箱故障诊断[J].振动与冲击,2010,29(S):216-218.
Lei Yaguo,Lin Jing,He Zhengjia. Fault diagnosis of planetary gearboxes based on multi-sensor information fusion[J]. Journal of Vibration and Shock,2010,29(S):216-218.
[2] 冯志鹏,赵镭镭,褚福磊.行星齿轮箱齿轮局部故障振动频谱特征[J].中国电机工程学报,2013,05:119-127+19.
Feng Zhipeng,Zhao Lei Lei,Chu Fu-lei.Vibration Spectral Characteristics of Localized Gear Fault of Planetary Gearboxes[J]. China CSEE, 2013,05: 119-127 + 19.
[3] 刘红星,林京,屈梁生,等. 信号时域平均处理中的若干问题探讨[J]. 振动工程学报. 1997,10(04): 743-747.
Liu Hongxing, Lin Jing, Qu Liangsheng. Discussion on signal averaging in time domain[J].Journal of Vibration Engineering. 1997,10(04): 743-747.
[4] P. D. McFadden. A technique for calculating the time domain averages of the vibration of the individual planet gears and the sun gear in an epicyclic gearbox[J]. Journal of Sound and vibration, 1991, 144(1): 163-172.
[5] P. D. McFadden. Window functions for the calculation of the Time Domain Averages of the vibration of the individual planet gears and sun gear in an epicyclic gear box[J]. Journal of Vibration and Acoustics,1994,166(4):179-187.
[6] Adrian Hood,David Lewicki,Darryll Pines. Vibration based sun gear damage detection[C]. Proceedings of the ASME 2013 Power Transmission and Gearing Conference. Portland:ptg.2013.1-14.
[7] Ha Jong M,Young B D,Oh H,et al. Autocorrelation-based time synchronous averaging for condition monitoring of planetary gearboxes in wind turbines[J]. Mechanical Systems and Signal Processing, 2016, 70: 161-175.
[8] Samuel, Conroy J K, Pines D J. Planetary transmission diagnostics[J]. NASA CR, 2004, 213068.
[9] Braun S. The synchronous (time domain) average revisited[J]. Mechanical Systems & Signal Processing, 2011, 25(4):1087- 1102.
[10] 何正嘉,刘雄,屈梁生.信号时域平均原理和应用[J].信号处理. 1986,2(04): 236-243.
He Zhengjia,Liu Xiong,Qu Liangsheng. Signal time domain average principle and application [J].signal processing.1986, 2(04): 236-243.
[11] 肖志松,唐立伟,王虹,等. 时域平均在行星齿轮箱故障诊断的应用[J]. 河北工业大学学报. 2003,32(6): 99-102.
Xiao Zhisong,Tang Liwei,Wang Hong,et al. Discussion on signal averaging in time domain[J].Journal of Hebei University of Technology. 2003,32(6): 99-102.
[12] R.B. Randall,Vibration Based on Condition Monitoring[M], Australia :John Wiley and Sons Publishers (2010).
[13] P. D. McFadden. An explanation for the asymmetry of the modulation sidebands about the tooth meshing frequency in epicyclic gear vibration [J]. Journal of Mechanical Engineering scinece. 1985.199(1).65-70.