TITLE:
A Transient Enhancement Method for Two-Stage Helicopter Gearbox Fault Diagnosis Based on ALE
AUTHORS:
Xiange Tian, Tie Wang, Zhi Chen, Fengshou Gu, Andrew Ball
KEYWORDS:
Adaptive Filter; Adaptive Line Enhancement; Transient Enhancement; Fault Diagnosis
JOURNAL NAME:
Journal of Signal and Information Processing,
Vol.4 No.3B,
October
17,
2013
ABSTRACT: Periodical impulse component is one of
typical fault characteristics in vibration signals from rotating machinery. However,
this component is very small in the early stage of the fault and masked by
various noises such as gear meshing components modulated by shaft frequency, which
make it difficult to extract accurately for fault detection. The adaptive line
enhancer (ALE) is an effective technique for separating sinusoidals from broad-band components of an input
signal for detecting the presence of sinusoids in white noise. In this paper,
ALE is explored to suppress the periodical gear meshing frequencies and enhance
the fault feature impulses for more accurate fault diagnosis. The results
obtained from simulated and experimental vibration signals of a two stage
helical gearbox prove that the ALE method is very effective in reducing the
periodical gear meshing noise and making the impulses in vibration very clear
in the time-frequency analysis. The results show a clear difference between the
baseline and 30% tooth damage of a helical gear which has not been detected
successfully in author’s previous studies.