摘要
针对滚动轴承故障诊断问题,提出一种在频域进行相关分析诊断故障的新方法。将振动信号进行离散余弦变换得到频域系数,对频域系数自动分段,对不同分段情况下的频域系数进行相关分析,比较不同分段情况下的相关系数,取其最大值,对应的频率即为故障频率。该方法克服了时域内相关分析受噪声影响导致诊断不准确的缺点,在信号含噪声情况下诊断结果稳定、准确。SKF 6205-2RS轴承诊断实例说明该方法的可用性。
A new approach based on correlation analysis for frequency was presented for fault diagnosis on roller bearings. Firstly, frequency domain coefficients were computed by discrete cosine transform （DCT） , then frequency domain coefficients were segmented automatically. Correlation analysis was applied to frequency domain coefficients which were segmented into different parts to calculate correlation coefficient. Comparison was made to acquire maximum correlation coefficient which corresponded to fault frequency. This method overcame the drawback that when time domain correlation analysis was interfered by noise, the result would be incorrect. Meanwhile,the fault diagnosis result was stable and accurate. A diagnosis instance of the bearing SKF 6205-2RS was presented to show the feasibility of this approach.
出处
《机械强度》
CAS
CSCD
北大核心
2013年第2期138-141,共4页
Journal of Mechanical Strength
关键词
频域
相关分析
离散余弦变换
故障诊断
Frequency domain
Correlation analysis
Discrete cosine transform （DCT）
Fault diagnosis
