轴承
軸承
축승
BEARING
2014年
11期
61-64
,共4页
苏文芳%李凌均%韩捷%石帅锋
囌文芳%李凌均%韓捷%石帥鋒
소문방%리릉균%한첩%석수봉
滚动轴承%故障诊断%全矢谱%局部均值分解
滾動軸承%故障診斷%全矢譜%跼部均值分解
곤동축승%고장진단%전시보%국부균치분해
rolling bearing%fault diagnosis%full vector spectrum%local mean decomposition
局部均值分解可将多分量信号自适应地分解为多个单分量信号，全矢谱技术可以解决单通道信号不完整的问题。运用信息融合技术，将两者结合形成全矢局部均值分解方法，将局部均值分解得到的 PF 分量进行全矢谱融合分析，这样既可将信号彻底分解，又可保证其完整性，并通过滚动轴承试验验证了该方法的可行性。
跼部均值分解可將多分量信號自適應地分解為多箇單分量信號，全矢譜技術可以解決單通道信號不完整的問題。運用信息融閤技術，將兩者結閤形成全矢跼部均值分解方法，將跼部均值分解得到的 PF 分量進行全矢譜融閤分析，這樣既可將信號徹底分解，又可保證其完整性，併通過滾動軸承試驗驗證瞭該方法的可行性。
국부균치분해가장다분량신호자괄응지분해위다개단분량신호，전시보기술가이해결단통도신호불완정적문제。운용신식융합기술，장량자결합형성전시국부균치분해방법，장국부균치분해득도적 PF 분량진행전시보융합분석，저양기가장신호철저분해，우가보증기완정성，병통과곤동축승시험험증료해방법적가행성。
The local mean decomposition (LMD)can make a multi -component signal adaptively decomposed into se-ries of single -component signals.The full vector spectrum technology can solve the problem about incomplete single -channel signal.The full vector local mean decomposition method is formed by using the information fusion technology. The PF component which is decomposed by LMD will be fused by the full vector spectrum,the signal can be decom-posed completely and to ensure their integrity.Its effectiveness and feasibility is verified through rolling bearing test.
