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NGHIEN ClifU - TRAO 061
PHU'aNG PHAP NHAN DANG HU* HONG BO TRUYEN BANH RANG
TRONG DIEU KIEN VAN HANH Vd | TOC DO QUAY BIEN DOI
BANG PHEP BIEN DOI NEN WAVELET SUY RONG
FAULT IDENTIFICATION METHOD IN GEARBOXES OPERATING
AT VARIABLE ROTATION SPEEDS USING THE GENERALIZED
SYNCHROSQUEEZING TRANSFORM
ThS. Nguyen Trong Du
Khoa Cdng nghe Co khi, Trudng Dai hgc Dien lire
T6M TAT
Phdn tich tin hiiu trong mien th&i gian - tdn so (Time-Frequency Analysis - TFA) la mpt
cong cu hihi hiiu di phdt hiin hu hong trong he truyen dpng co toe dp quay biin doi. Trong bdi
bdo ndy tdc gid de cgp t&i mpt phucmg phdp phdn tich tin hieu trong miin thai gian - tdn s6 m&i
tren ca s&phep biin doi nen Wavelet suy rpng (Generalized Synchrosqueezing Transform - GST).
V&i phuang phdp ndy tin hiiu dao dpng do dugc. se dugc xu ly bdng GST, co khd ndng nhdn dang
tot tdn so dn kh&p vd cdc ddi bien. Phuong phdp ndy dugc tdc gid kiem chicng bdng tin hiiu dao
dpng mo phong vd tin hiiu dao dpng thifc do tren mo hinh thi nghiem. Kit qud phdn tich chi ra
rdng day Id mpt phuang phdp co hieu qud trong viec gidm sdt tinh trgng hogt dpng cua bo truyin
banh rang van hdnh trong dieu kien toe dp quay biin doi.
Tur khoa: Phep bien doi Wavelet, phep biin doi nen Wavelet, phep bien doi nen Wavelet
suy rpng, hu hong hdnh rdng, phdn tich thai gian - tdn so.
ABSTRACT
Time-Frequency Analysis (TFA) Is an effective tool to detect gearbox faults at variable
operating speeds. The present study deals with an advanced method of TFA based on Continuous
Wavelet Transform (CWT), called generalized synchrosqueezing transfrom (GST). Using this
method, the measured vibration signal is transformed into time-frequency domain to obtain its
Time-Frequency Distribution (TFD) having high resolution in time and frequency domain. The
gearbox fault, if any, can then be detected by observing the presence of the meshing frequency
and side band components in the TFD. The TFA-approach used is evaluated using both simulated
and measured vibration signals at a test-rig. The results have shown that this approach is effective
for gearbox condition monitoring.
Keywords: Wavelet transform, synchrosqueezing transform, generalized synchrosqueezing
transform, gear fault, time-frequency analysis. ^
ISSN 0866 - 7056
TAP CHi CO KHi VIET NAM, Sd 1+2 nam 2015
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