Using the method of rotating machinery vibration signal frequency spectrum analysis, this paper analyzes the collected vibration signals of some aero-engines, and finds out the vibration signals which can show the three kinds of fault frequency of rotor misalignment, rotor imbalance and rotor-stator rubbing.Then we use the wavelet packet to decompose the signal to some frequency ranges and calculate the energy of feature frequency ranges which indicate the fault information.In the end, we adopt the wavelet packet energy spectrum to distinguish the three kinds of faults and prepare for the aero-engine fault pattern recognition for the future.
GUO Li-quan, WANG Ke-ming
. The extraction of aero-engine fault feature based on wavelet packet energy spectrum[J]. Journal of Shenyang Aerospace University, 2014
, 31(1)
: 12
-15
.
DOI: 10.3969/j.issn.2095-1248.2014.01.003
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