机械与电子
機械與電子
궤계여전자
MACHINERY & ELECTRONICS
2014年
1期
8-11
,共4页
熊星%孔凡让%张海滨%李昌林%朱丕亮
熊星%孔凡讓%張海濱%李昌林%硃丕亮
웅성%공범양%장해빈%리창림%주비량
小波包分解%Hilbert-Huang 变换%滚动轴承%故障诊断
小波包分解%Hilbert-Huang 變換%滾動軸承%故障診斷
소파포분해%Hilbert-Huang 변환%곤동축승%고장진단
wavelet packets decomposition%Hilbert Huang transform%rolling element bear-ing%fault diagnosis
在分析小波包分解(WPD)和 Hilbert-Huang 变换(HHT)的基础上，通过将 WPD 和HHT相结合，引进了一种故障诊断方法(WPD- HHT)。仿真和实验表明，此方法能有效提取周期性脉冲成分并抑制噪声。
在分析小波包分解(WPD)和 Hilbert-Huang 變換(HHT)的基礎上，通過將 WPD 和HHT相結閤，引進瞭一種故障診斷方法(WPD- HHT)。倣真和實驗錶明，此方法能有效提取週期性脈遲成分併抑製譟聲。
재분석소파포분해(WPD)화 Hilbert-Huang 변환(HHT)적기출상，통과장 WPD 화HHT상결합，인진료일충고장진단방법(WPD- HHT)。방진화실험표명，차방법능유효제취주기성맥충성분병억제조성。
In this article,based on the theoreti-cal foundation of Wavelet Packets Decomposition (WPD)and Hilbert huang Transform(HHT),it is proposed a new method combined with WPD and HHT.The performance of the proposed method was validated by detecting simulation and experi-mental signals.The results showed that the pro-posed method is effective for extracting periodic impulses and suppressing noise of vibration sig-nals.
