Vibration detection of local gear damage by advanced demodulation and residual techniques

被引:17
作者
Combet, F. [1 ]
Gelman, L.
Anuzis, P. [2 ]
Slater, R. [2 ]
机构
[1] Cranfield Univ, Dept Proc & Syst Engn, Sch Engn, Cranfield MK43 0AL, Beds, England
[2] Rolls Royce PLC, Derby, England
关键词
local damage detection; gears; vibration signals; the demodulation analysis; the residual signal analysis; MESHING VIBRATION; SIGNAL;
D O I
10.1243/09544100JAERO450
中图分类号
V [航空、航天];
学科分类号
08 ; 0825 ;
摘要
Damage detection in a gearbox is reported based on analysis of vibration signals measured on a running aircraft engine on a test bed. The experiment was stopped due to material being found on the magnetic chip detectors in the oil system. Subsequent inspection found a significant damage to a bevel gear inside the drive train system. Three damage detection techniques are applied to the vibration signals: advanced demodulation, advanced residual technique, and the classical residual technique. Fault indicators are defined from each technique and trended over time. Results show that these techniques have the ability to provide early damage detection; however, with some noticeable difference in their feature evolution. The advantages of the techniques are compared and discussed.
引用
收藏
页码:507 / 514
页数:8
相关论文
共 12 条
[1]  
[Anonymous], 1977, P M APPL TIM SER AN
[2]  
BRAUN S, 1975, ACUSTICA, V32, P69
[3]   An automated methodology for performing time synchronous averaging of a gearbox signal without speed sensor [J].
Combet, F. ;
Gelman, L. .
MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2007, 21 (06) :2590-2606
[4]   Optimal filtering of gear signals for early damage detection based on the spectral kurtosis [J].
Combet, F. ;
Gelman, L. .
MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2009, 23 (03) :652-668
[5]   Effectiveness and sensitivity of vibration processing techniques for local fault detection in gears [J].
Dalpiaz, G ;
Rivola, A ;
Rubini, R .
MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2000, 14 (03) :387-412
[6]   Adaptive vibration condition monitoring technology for local tooth damage in gearboxes [J].
Gelman, L ;
Zimroz, R ;
Birkel, J ;
Leigh-Firbank, H ;
Simms, D ;
Waterland, B ;
Whitehurst, G .
INSIGHT, 2005, 47 (08) :461-464
[7]   DETECTING FATIGUE CRACKS IN GEARS BY AMPLITUDE AND PHASE DEMODULATION OF THE MESHING VIBRATION [J].
MCFADDEN, PD .
JOURNAL OF VIBRATION ACOUSTICS STRESS AND RELIABILITY IN DESIGN-TRANSACTIONS OF THE ASME, 1986, 108 (02) :165-170
[9]  
NICKS JE, 1995, P IMECHE 2 INT C GEA
[10]  
RANDALL RB, 1982, ASME, V104, P259