润滑与密封
潤滑與密封
윤활여밀봉
LUBRICATION ENGINEERING
2014年
8期
8-13,34
,共7页
张尔卿%傅攀%陈侃%张智
張爾卿%傅攀%陳侃%張智
장이경%부반%진간%장지
机械密封%声发射%经验模态分解%状态监测
機械密封%聲髮射%經驗模態分解%狀態鑑測
궤계밀봉%성발사%경험모태분해%상태감측
mechanical fluid seal%acoustic emission%empirical mode decomposition%condition monitoring
针对机械密封运行过程中反映密封端面接触状态的工作参数(端面开启时间、膜厚等)测量困难的问题,提出基于声发射信号的机械密封端面接触状态监测方法。根据密封端面产生的声发射信号具有时变非线性且突发性强的特点,采用经验模态分解(EMD)法对原始信号进行分离提取。EMD法能够将信号分解为不同时间尺度和不同频带的一系列固有模态函数,然后根据能量分布特征对伪分量进行剔除,得到“近源”声发射信号,抽取其信号特征运用La-place小波相关系数法实现对密封端面接触状态的准确识别。通过机械密封测试试验证明,声发射监测技术能准确地识别机械密封装置动静环之间的接触状态和摩擦形式,能够在工业现场推广使用。
針對機械密封運行過程中反映密封耑麵接觸狀態的工作參數(耑麵開啟時間、膜厚等)測量睏難的問題,提齣基于聲髮射信號的機械密封耑麵接觸狀態鑑測方法。根據密封耑麵產生的聲髮射信號具有時變非線性且突髮性彊的特點,採用經驗模態分解(EMD)法對原始信號進行分離提取。EMD法能夠將信號分解為不同時間呎度和不同頻帶的一繫列固有模態函數,然後根據能量分佈特徵對偽分量進行剔除,得到“近源”聲髮射信號,抽取其信號特徵運用La-place小波相關繫數法實現對密封耑麵接觸狀態的準確識彆。通過機械密封測試試驗證明,聲髮射鑑測技術能準確地識彆機械密封裝置動靜環之間的接觸狀態和摩抆形式,能夠在工業現場推廣使用。
침대궤계밀봉운행과정중반영밀봉단면접촉상태적공작삼수(단면개계시간、막후등)측량곤난적문제,제출기우성발사신호적궤계밀봉단면접촉상태감측방법。근거밀봉단면산생적성발사신호구유시변비선성차돌발성강적특점,채용경험모태분해(EMD)법대원시신호진행분리제취。EMD법능구장신호분해위불동시간척도화불동빈대적일계렬고유모태함수,연후근거능량분포특정대위분량진행척제,득도“근원”성발사신호,추취기신호특정운용La-place소파상관계수법실현대밀봉단면접촉상태적준학식별。통과궤계밀봉측시시험증명,성발사감측기술능준학지식별궤계밀봉장치동정배지간적접촉상태화마찰형식,능구재공업현장추엄사용。
It is very difficult that to measure the working parameters reflecting end face friction state (such as end face opening time,film thickness,etc. )of the mechanical liquid seal when it in the operation. As the Acoustic Emission (AE)signals generated by seal end face have the characteristics of time-varying nonlinear and strong impulsiveness,the method of mechanical fluid seal end face friction condition monitoring was proposed based on the Acoustic Emission sig-nals,and the Empirical Mode Decomposition (EMD)was introduced into the mechanical fluid seal work condition monito-ring analysis. EMD is equivalent to a set of adaptive filter. The signal can be decomposed into a series of independent characteristics with different time scales,different frequency band of the Intrinsic Mode Function (IMF). And then ac-cording to the characteristics of energy distribution to eliminate false components,got the proximal source acoustic emission signals. It’s features was extracted and the mechanical liquid seal end face contact state was identified accurately using Laplace wavelet correlation coefficient method. By mechanical oil seal testing proved that this method could accurately i-dentify the contact state of dynamic and static rings for the mechanical fluid seal,and it could be used widely in industrial field.