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投稿时间：2011-07-04
投稿时间：2011-07-04
中文摘要: 在LabVIEW 8.5环境下实现了基于特征参数和希尔伯特包络谱分析的故障诊断方法,开发了风电机组滚动轴承故障诊断系统.故障诊断实验结果表明,该系统能够有效、快速、准确地对滚动轴承内圈、外圈、滚动体故障进行识别并报警.
Abstract:The fault diagnosis methods are achieved based on characteristic parameters and Hilbert envelope spectrum analysis; wind turbine rolling bearing fault diagnosis system in LabVIEW 8.5 is developed.The results of fault diagnosis show that the system can efficiently，quickly and accurately identify and alarm rolling bearing inner ring，outer ring，rolling body faults.
keywords: wind turbine rolling bearing characteristic parameter envelope spectrum analysis fault diagnosis
文章编号：20110607 中图分类号： 文献标志码：
基金项目:上海市教委重点学科建设项目(J51301);上海市教委科研创新项目(Z2010-64);上海市重点科技攻关计划项目(10110502100);上海市人才发展基金(10110502100)
引用文本：
徐浩凇,郑小霞.基于LabVIEW的风电机组滚动轴承故障诊断系统及其仿真[J].上海电力大学学报,2011,27(6):563-567.
XU Hao-song,ZHENG Xiao-xia.Fault Diagnosis System of Wind Turbine Rolling Bearing Based on LabVIEW and Simulation[J].Journal of Shanghai University of Electric Power,2011,27(6):563-567.
徐浩凇,郑小霞.基于LabVIEW的风电机组滚动轴承故障诊断系统及其仿真[J].上海电力大学学报,2011,27(6):563-567.
XU Hao-song,ZHENG Xiao-xia.Fault Diagnosis System of Wind Turbine Rolling Bearing Based on LabVIEW and Simulation[J].Journal of Shanghai University of Electric Power,2011,27(6):563-567.