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Fault Diagnosis of Planetary Gearbox Based on Adaptive Order Bispectrum Slice and Fault Characteristics Energy Ratio Analysis

机译:基于自适应序双谱切片和故障特征能量比分析的行星齿轮箱故障诊断

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摘要

The vibration of a planetary gearbox (PG) is complex and mutually modulated, which makes the weak features of incipient fault difficult to detect. To target this problem, a novel method, based on an adaptive order bispectrum slice (AOBS) and the fault characteristics energy ratio (FCER), is proposed. The order bispectrum (OB) method has shown its effectiveness in the feature extraction of bearings and fixed-shaft gearboxes. However, the effectiveness of the PG still needs to be explored. The FCER is developed to sum up the fault information, which is scattered by mutual modulation. In this method, the raw vibration signal is firstly converted to that in the angle domain. Secondly, the characteristic slice of AOBS is extracted. Different from the conventional OB method, the AOBS is extracted by searching for a characteristic carrier frequency adaptively in the sensitive range of signal coupling. Finally, the FCER is summed up and calculated from the fault features that were dispersed in the characteristic slice. Experimental data was processed, using both the AOBS-FCER method, and the method that combines order spectrum analysis with sideband energy ratio (OSA-SER), respectively. Results indicated that the new method is effective in incipient fault feature extraction, compared with the methods of OB and OSA-SER.
机译:行星齿轮箱(PG)的振动是复杂且相互调制的,这使得早期故障的微弱特征难以检测。针对这一问题,提出了一种基于自适应阶双谱切片(AOBS)和故障特征能量比(FCER)的新方法。阶双谱(OB)方法已证明其在轴承和固定轴变速箱特征提取中的有效性。但是,PG的有效性仍需要探索。开发FCER是为了总结故障信息,这些信息通过相互调制而分散。在这种方法中,首先将原始振动信号转换为角域的原始振动信号。其次,提取AOBS的特征切片。与传统的OB方法不同,通过在信号耦合的敏感范围内自适应地搜索特征载波频率来提取AOBS。最后,对FCER进行汇总并根据分散在特征切片中的故障特征进行计算。使用AOBS-FCER方法和将阶次频谱分析与边带能量比结合的方法(OSA-SER)分别处理了实验数据。结果表明,与OB和OSA-SER方法相比,该新方法在早期故障特征提取中是有效的。

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