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Research of high-resolution vibration signal detection technique and application to mechanical fault diagnosis

机译：高分辨率振动信号检测技术的研究及其在机械故障诊断中的应用

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摘要

Bilinear time-frequency transformation can possess a simultaneous high resolution both in the time domain and the frequency domain. It can be utilised to detect weak transient vibration signals generated by early mechanical faults in complex background and thus is of great importance to early mechanical fault diagnoses. It has been found that the spectrogram has low resolution, and there is strong cross-terms in Wigner—Ville distribution and frequency aliasing and information loss in Choi―Williams distribution (CWD). Hence, they cannot achieve satisfied transient signal detection results. To enhance the capability of detecting transient vibration signals, based on the analysis of exponent distribution, this paper presents some novel alias-free time-frequency distributions. These distributions can avoid the information loss in CWD while suppressing the cross-terms. Moreover, they have high simultaneous resolutions in both the time and frequency domain. Digital simulation and gearbox fault diagnosis experiments prove that these new distributions can effectively detect transient components from complicated mechanical vibration signals.
机译：双线性时频变换可以在时域和频域中同时具有高分辨率。它可用于检测复杂背景下早期机械故障产生的微弱瞬态振动信号，因此对早期机械故障诊断非常重要。已经发现，该频谱图具有较低的分辨率，并且在Wigner-Ville分布，频率混叠以及Choi-Williams分布（CWD）中的信息丢失中存在很强的交叉项。因此，它们不能获得令人满意的瞬态信号检测结果。为了提高对瞬态振动信号的检测能力，在对指数分布进行分析的基础上，提出了一些新颖的无混叠时频分布。这些分布可以避免CWD中的信息丢失，同时抑制了交叉项。此外，它们在时域和频域均具有很高的同时分辨率。数字仿真和变速箱故障诊断实验证明，这些新的分布可以有效地检测来自复杂机械振动信号的瞬态分量。

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