Two new features for condition monitoring and fault diagnosis of planetary gearboxes

被引:40
作者
Lei, Yaguo [1 ,2 ]
Li, Naipeng [1 ]
Lin, Jing [1 ]
He, Zhengjia [1 ]
机构
[1] Xi An Jiao Tong Univ, State Key Lab Mfg Syst Engn, Xian 710049, Peoples R China
[2] Chongqing Univ, State Key Lab Mech Transmiss, Chongqing 630044, Peoples R China
基金
中国国家自然科学基金;
关键词
Condition monitoring; diagnostic features; fault diagnosis; planetary gearboxes; GEAR; DEMODULATION; CRACK;
D O I
10.1177/1077546313486284
中图分类号
O42 [声学];
学科分类号
070206 ; 082403 ;
摘要
Planetary gearboxes are widely used in aerospace, automotive and heavy industrial applications that require compactness and high torque-to-weight ratios. Despite these advantages, tough operation conditions under which planetary gearboxes are typically used may lead to damage on their key components, for example, gears and bearings. Because of the unique behaviors of planetary gearboxes significantly different from fixed-axis gearboxes, the diagnostic features developed and working well for fixed-axis gearboxes will degrade when applied to planetary gearboxes. Therefore, there is a demand to develop features specifically for monitoring and diagnosing planetary gearboxes. To meet this demand, this paper proposes two features, namely, accumulative amplitudes of carrier orders and energy ratio based on difference spectra. The effectiveness of the proposed features is demonstrated using the vibration data acquired from a planetary gearbox test rig. The vibration data is measured under different motor speeds and various types of faults on gears and bearings. The proposed features are also compared with those reported in the literature. The comparison results show that the proposed features are more successful than others in monitoring and diagnosing planetary gearboxes.
引用
收藏
页码:755 / 764
页数:10
相关论文
共 25 条
[1]  
[Anonymous], 2012, 2012 INT C IND POS I, DOI [10.1109/IPIN.2012.6418880, DOI 10.1109/IPIN.2012.6418880]
[2]   Application of spectral kurtosis for detection of a tooth crack in the planetary gear of a wind turbine [J].
Barszcz, Tomasz ;
Randall, Robert B. .
MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2009, 23 (04) :1352-1365
[3]   A new feature for monitoring the condition of gearboxes in non-stationary operating conditions [J].
Bartelmus, W. ;
Zimroz, R. .
MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2009, 23 (05) :1528-1534
[4]   Detection of a fatigue crack in a UH-60A planet gear carrier using vibration analysis [J].
Blunt, David M. ;
Keller, Jonathan A. .
MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2006, 20 (08) :2095-2111
[5]   The envelope order spectrum based on generalized demodulation time-frequency analysis and its application to gear fault diagnosis [J].
Cheng, Junsheng ;
Yang, Yu ;
Yu, Dejie .
MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2010, 24 (02) :508-521
[6]   Early Detection of Rolling Bearing Defect by Demodulation of Vibration Signal Using Adapted Wavelet [J].
Chiementin, X. ;
Bolaers, F. ;
Cousinard, O. ;
Rasolofondraibe, L. .
JOURNAL OF VIBRATION AND CONTROL, 2008, 14 (11) :1675-1690
[7]   Method of de-noising by spectral subtraction applied to the detection of rolling bearings defects [J].
Estocq, P ;
Bolaers, F ;
Dron, JR ;
Rasolofondraibe, L .
JOURNAL OF VIBRATION AND CONTROL, 2006, 12 (02) :197-211
[8]   Gearbox fault detection using Hilbert and wavelet packet transform [J].
Fan, XF ;
Zuo, MJ .
MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2006, 20 (04) :966-982
[9]   Machine fault feature extraction based on intrinsic mode functions [J].
Fan, Xianfeng ;
Zuo, Ming J. .
MEASUREMENT SCIENCE AND TECHNOLOGY, 2008, 19 (04)
[10]   Fault diagnosis for wind turbine planetary gearboxes via demodulation analysis based on ensemble empirical mode decomposition and energy separation [J].
Feng, Zhipeng ;
Liang, Ming ;
Zhang, Yi ;
Hou, Shumin .
RENEWABLE ENERGY, 2012, 47 :112-126