| 引用本文: | 黄传金,邬向伟,曹文思,孟雅俊,李军伟.基于LMD的全矢包络技术及其在TRT振动故障诊断中的应用[J].电力自动化设备,2015,35(2): |
| HUANG Chuanjin,WU Xiangwei,CAO Wensi,MENG Yajun,LI Junwei.LMD-based full vector envelope technique and its application in TRT vibration fault diagnosis[J].Electric Power Automation Equipment,2015,35(2): |
|
| 摘要: |
| 为了更加准确地提取高炉煤气余压透平发电机组（TRT）振动故障信息，提出了基于局部均值分解（LMD）的全矢包络技术。该方法采集TRT转子某一截面上互相垂直的2个振动信号，利用LMD分别将2个信号分解为若干乘积函数（PF）分量。对2个信号的PF分量的包络函数分别进行融合，得到全矢包络谱，利用其对TRT进行故障诊断。仿真和实际算例分析结果表明，较之单源信息分析方法，所提方法获取的故障特征更全面、准确。 |
| 关键词: 局部均值分解 全矢包络谱 TRT 故障诊断 同源信息融合 滑动轴承 轴瓦振动 振动分析 |
| DOI： |
| 分类号: |
| 基金项目:国家自然科学基金资助项目（50675209）；河南省教育厅科技攻关资助项目（14B470015）；郑州市普通科技攻关资助项目（131PPTGG421-1） |
|
| LMD-based full vector envelope technique and its application in TRT vibration fault diagnosis |
|
HUANG Chuanjin1, WU Xiangwei1, CAO Wensi2, MENG Yajun1, LI Junwei3
|
|
1.School of Engineering Technology，Zhongzhou University，Zhengzhou 450044，China;2.School of Electric Power，North China University of Water Resources and Electric Power，Zhengzhou 450045，China;3.Vibration Engineering Research Institute，Zhengzhou University，Zhengzhou 450001，China
|
| Abstract: |
| The full vector envelope technique based on LMD（Local Mean Decomposition） is proposed to more accurately extract the vibration fault information of TRT（Top gas pressure Recovery Turbine unit），which acquires two mutually perpendicular signals from a section of TRT rotor，applies LMD to decompose each signal into multiple PF（Product Function） components，fuses the PF envelope functions of two signals to get a full vector envelope spectrum for each PF component，and diagnoses the TRT vibration faults accordingly. The results of simulation and case analysis show that，the fault information extracted by the proposed method is more comprehensive and accurate than that by the single-signal information analysis. |
| Key words: local mean decomposition full vector envelope spectrum TRT fault diagnosis homologous information fusion sliding bearing shaft and bearing vibration vibration analysis |
