A method combining wavelet transform and envelope spectrum is proposed for the collection of fault information and the fault diagnosis for the aero-engine main shaft bearings, taking advantage of the recorded aero-engine vibration signals collected from the ground tests.First, the recorded aero-engine vibration signals are wavelet de-noised; then, the wavelet de-noised fault feature signals are extracted through wavelet transform; lastly, the fault feature signals are analyzed through the Hilbert envelope spectrum to obtain the characteristic peak frequencies.After being applied in tests, this method is approved to be effective in the diagnosis of the fault and the definite fault position of the aero-engine main shaft bearings, which may provide a virtual basis on the fault diagnosis of aero-engine main shaft bearings and has a broad prospect of application.
LIANG Xian-ya, SHA Yun-dong, LUAN Xiao-chi, ZHAO Feng-tong, ZHANG Qiang
. Fault diagnosis of aero-engine main shaft bearings based on envelope spectrum analysis[J]. Journal of Shenyang Aerospace University, 2013
, 30(4)
: 18
-22
.
DOI: 10.3969/j.issn.2095-1248.2013.04.004
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