Abstract
Vibration signals measured in the run-up/coast-down (R/C) processes usually carry rich information about the health status of machinery. However, a major challenge in R/C signals analysis lies in how to exploit more diagnostic information, and how this information could be properly integrated to achieve a more reliable maintenance decision. Aiming at this problem, a framework of R/C signals analysis is presented for the health assessment of gearbox. In the proposed methodology, we first investigate the data preprocessing and feature selection issues for R/C signals. Based on that, a sparsity-guided feature enhancement scheme is then proposed to extract the weak phase jitter associated with gear defect. In order for an effective feature mining and integration under R/C, a generalized phase demodulation technique is further established to reveal the evolution of modulation feature with operating speed and rotation angle. The experimental results indicate that the proposed methodology could not only detect the presence of gear damage, but also offer a novel insight into the dynamic behavior of gearbox.
Highlights
Vibration analysis has been widely accepted and extensively used for the health assessment and fault diagnosis of rotating machinery
Many efforts have been made to develop accurate diagnostic methods based on vibration analysis over the past few decades [1,2,3,4]
The variation of speed will bring complicated amplitude- and frequency-modulation effects to the measured signal. Those speed-related modulation effects are much more powerful than those caused by mechanical defects, imposing great difficulty for fault detection and health assessment
Summary
Vibration analysis has been widely accepted and extensively used for the health assessment and fault diagnosis of rotating machinery. Since the FR of transfer is a function of f, the response wellprocess as its modulation feature f is added to Equation (3), andpath the vibration model for fault gearbox in theasR/C can be given as would vary with the rotation frequency of gearbox To account for this effect, an independent variable x( f , t ) K X k ( f ) [1 ak ( f , t )]cos[2 kTft k bk ( f , t )]. FEA can hardly consider the influences of manufacturing and installation errors on simplified model,toand it is only effective whennon-linear certain underlying assumptions hold For the instance, it it isthe rather difficult simulate and analyze dynamics oil film between meshing vibration response of gearbox.
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