1(1/2)维倒谱在滚动轴承故障诊断中的应用

Application of Dimensions Cepstrum in the Fault Diagnosis of Rolling Bearing

从三阶累积量的概念出发,提出了1(1/2)维倒谱的概念,并从理论上推导出其能抑制噪声、提高信噪比.将其应用于实际的滚动轴承故障特征提取中,分析表明,与其他一般的信号处理方法相比1(1/2)维倒谱能有效地从复杂的信号成分中提取出特征信号来,且计算量小、精度高.

A concept of 1.5 dimension cepstrum based on third order cumulant is proposed. It is deduced from theory that 1.5 dimension cepstrum can suppress the noise and increase the single-to-noise ratio. Our analysis indicates that compared with other general signal processing methods, using 1.5 dimension cepstrum can extract feature signal （bearing fault feature in this case） from the complex signal components with higher accuracy efficiently.