基于气隙线圈探测的发电机转子绕组匝间短路故障识别

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1、摘要摘要发电机转子是发电机的重要组成部分，转子绕组匝间短路是一种常见的汽轮发电机故障。如果电力系统中发电机发生故障，可能会导致局部停电乃至整个系统崩溃。因此进行汽轮发电机转子匝间短路故障的早期预报是十分必要。本文首先分析了前人应用探测线圈法在线检测汽轮发电机匝间短路故障的理论和实践；然后研究了小波理论在故障诊断中的应用，选择合适的消失矩可以削减电枢反应的影响；针对不同工况下定、转子气隙中感应电势中各种信号的特性与噪声信号的不同特性,提出了小波变换和模极大值去噪方法；根据故障信号的奇异性与对称性从而实现了对发电机转子绕组故障检测以及故障槽的定位。并在MATLAB环境下进行了仿真验证。

2、在此基础上利用瑞泰公司的TMS320VC33开发板，设计了其外围接口电路，并把现场数据采集，小波变换，模极大值消噪算法烧到开发板FLASH中。最后研究开发了一套用于在线检测的发电机转子匝间短路探测独立装置。理论与实例表明，该方法适合于发电机转子绕组匝间短路故障的在线检测。关键词：探测线圈；匝间短路；消失矩；模极大值消噪；在线检测装置I摘要AbstractGeneratorRotorisanimportantcomponentofthegenerator,androtorwindinginter-turnshortcircuitisacommonturbo-generatorfail

3、ure.Powersystemisfailureduetothehealthofgenerator,whichcouldleadtopartialpoweroutageandthewholesystemcrashes.Sotheearlywarningofturbo-generatorrotorinter-turnshortcircuitisessential.Firstthepaperanalysisofthepreviousscholar’stheoryandpracticeofon-linefaultdiagnosistechniquebasedonsearchcoilmet

4、hodfordetectinginter-turnshortcircuitsinturbo-generatorrotorwinding;afterthewavelettheoryapplicationinthediagnosisoffailureisstudied,wecanseethatitisimportanttochoicetherightvanishingmomentstoreducetheimpactofthearmaturereaction;aimedatcompletelydifferentpropertiesofinducedelectricpotentialsig

5、nalsintheairgapandnoisecharacteristicofthegeneratoroperatedindifferentconditionsisanalyzed,wavelettransformandmodulusmaximumnoiseeliminationalgorithmispresented;accordingtothesingularityandsymmetryofsignalfailures,itiseasilytodetectshortedturnsfaultandfindthefaultpositioninturbo-generatorrotor

6、windings.TheconcernedtheoryandexampleaboveisverifiedinMATLABenvironmentconcretely.Basedonthis,useofRuitaiTMS320VC33developmentboard,designofitsexternalinterfacecircuit,andtofielddataacquisition,wavelettransform,modulusmaximumnoiseeliminationalgorithmburninthedevelopmentboardFLASH.Finally,aseto

7、fonlinetestingforthegeneratorrotorinter-turnshortcircuitdetectionindependentdeviceisdeveloped.Theoreticalanalysisandexperimentalresultsshowthatthemethodisparticularlysuitableforon-linefaultdetectionofinter-turnshortcircuitinturbo-genera