基于改进角度－时间谱分析的滚动轴承故障特征提取. (Chinese)

Aimed at the problem that angular-temporal spectrum (ATS) analysis can not accurately extract the fault features of bearings under variable speed, a fault feature extraction method for rolling bearings is proposed based on improved ATS analysis. Firstly, the time-frequency characteristics of signal are analyzed to calculate the three-dimensional ATS of signal. Then, the average infogram is introduced to select the frequency band containing fault features of bearings. Finally, the improved ATS of signal is obtained by integrating the three-dimensional ATS with selected frequency band as integral range. The test shows that the improved ATS analysis method can accurately analyze the fault order and reflect the fault characteristics of bearings under variable speed. [ABSTRACT FROM AUTHOR]

针对角度－时间谱（ATS）分析无法准确提取变转速下轴承故障特征的问题，提出基于改进ATS分析的滚 动轴承故障特征提取方法。首先，通过分析信号的时频特性计算信号的三维ATS；然后，引入平均信息图，优选 轴承故障特征频带；最后，以所选的频带为积分范围对三维ATS进行积分运算得到信号的改进ATS。试验表 明，改进ATS分析方法能够准确分析故障阶次，反映变转速下轴承的故障特征。 [ABSTRACT FROM AUTHOR]

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