电子器件2017，Vol.40Issue(3)：568-572,5.DOI:10.3969/j.issn.1005-9490.2017.03.010
风电轴承多源振动信号故障诊断的数据融合方法研究
The Fault Diagnosis Method of Data fusion for the Multi-SourceVibration Signal of Wind Power Bearing
摘要
Abstract
Aiming at the disadvantage of wind rotary bearing fault vibration signal,such as low frequency,not smooth,nonlinear,difficult to detect,it puts forward a project based on data fusion.First of all,the combination of methods correlation B weighting method and the wavelet de-noising is proposed,multi-source vibration signals are fused and de-noising and then are decomposed on the basis of the EEMD.The experimental results show that the project tallies with the theoretical calculation of the fault characteristic frequency,it fully shows the effectiveness of the system on the fault diagnosis of magnetic rotor.关键词
风电轴承/数据融合/B型关联度/EEMDKey words
wind power bearing/Data Fusion/B type association degree/EEMD分类
信息技术与安全科学引用本文复制引用
袁倩,孙冬梅,朱徐东..风电轴承多源振动信号故障诊断的数据融合方法研究[J].电子器件,2017,40(3):568-572,5.基金项目
国家自然科学基金项目(51277092) （51277092）
江苏省人事厅江苏省博士后计划项目(1201012C) （1201012C）
