| 引用本文: | 王晓龙,唐贵基,何玉灵.基于COT-SSD的变转速滚动轴承微弱故障诊断[J].电力自动化设备,2019,39(5): |
| WANG Xiaolong,TANG Guiji,HE Yuling.Weak fault diagnosis for rolling bearing based on COT-SSD under variable rotating speed[J].Electric Power Automation Equipment,2019,39(5): |
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| 摘要: |
| 针对背景噪声干扰及转速波动工况下滚动轴承微弱故障识别困难这一问题，提出一种结合计算阶次追踪(COT)和奇异谱分解(SSD)的新型诊断方法。利用COT算法对采集的原始时域信号进行等角度重采样，继而利用SSD算法对重采样角域信号进行处理，通过自适应构建的轨迹矩阵的奇异值分解重组，将角域信号从高频至低频分解为若干个奇异谱分量，利用融合峭度指标筛选最佳奇异谱分量，选定最佳分量后对其进行进一步的包络解调运算，最终通过分析包络阶次谱中幅值突出的成分来准确判定滚动轴承运行状态。滚动轴承内外圈故障实测信号分析结果表明，所提方法能够有效提取出变速工况下滚动轴承的微弱故障特征信息。 |
| 关键词: 滚动轴承 变转速 微弱故障 计算阶次追踪 奇异谱分解 |
| DOI：10.16081/j.issn.1006-6047.2019.05.028 |
| 分类号:TM315;TH17 |
| 基金项目:国家自然科学基金资助项目(51777074)；中央高校基本科研业务费专项资金资助项目(2018MS124,2018YQ03) |
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| Weak fault diagnosis for rolling bearing based on COT-SSD under variable rotating speed |
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WANG Xiaolong, TANG Guiji, HE Yuling
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Department of Mechanical Engineering, North China Electric Power University, Baoding 071000, China
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| Abstract: |
| Aiming at the difficulty of weak fault identification of rolling bearing under the working condition of background noise interference and rotating speed fluctuation, a novel diagnosis method combining COT(Computed Order Tracking) algorithm and SSD(Singular Spectrum Decomposition) is proposed. The acquired original time-domain signal is even-angle resampled by using COT algorithm, and then the resampled angle-domain signal is processed by the SSD algorithm. The angle-domain signal is decomposed into several singular spectrum components from high frequency to low frequency by singular value decomposition and reconstruction of adaptive constructed trajectory matrix. The best singular spectrum component is selected by the fusion kurtosis index, and then its envelope demodulation operation is carried out. The operating condition of bearing is accurately judged by analyzing the components with prominent amplitude in the envelope order spectrum. The analysis results of the measured fault signals in the inner and outer ring of rolling bearing show that the proposed method could effectively extract the weak fault feature information of rolling bearing under the working condition of rotating speed fluctuation. |
| Key words: rolling bearing variable rotating speed weak fault computed order tracking singular spectrum decomposition |
