動(dòng)作電流波形樹表達(dá)道岔轉(zhuǎn)轍機(jī)狀態(tài)檢測(cè)方法＊)

1、基于動(dòng)作電流波形樹表達(dá)的道岔轉(zhuǎn)轍機(jī)狀態(tài)檢基于動(dòng)作電流波形樹表達(dá)的道岔轉(zhuǎn)轍機(jī)狀態(tài)檢測(cè)方法測(cè)方法＊）＊）楊云國(guó)王伯軍摘要給出了一種基于波形樹的隨機(jī)波形表達(dá)算法，即根據(jù)波形的特征點(diǎn)遞歸求出其波段組成的波峰集合。針對(duì)信號(hào)微機(jī)監(jiān)測(cè)設(shè)備測(cè)試的道岔動(dòng)作電流曲線，分析了ZD6型電動(dòng)轉(zhuǎn)轍機(jī)電流曲線的波動(dòng)特征，通過計(jì)算電流曲線的波形表達(dá)識(shí)別出道岔轉(zhuǎn)換的各個(gè)階段，檢測(cè)出波形中蘊(yùn)涵的故障征兆。最后給出一個(gè)故障檢測(cè)的示例，并指出該方法的適用范圍。關(guān)鍵詞關(guān)鍵詞信號(hào)

2、，系統(tǒng)辯識(shí)，道岔轉(zhuǎn)轍機(jī)，波形樹分類號(hào)分類號(hào)U284.58；TP391.4StateRecognitionMethodfPointMachinesBasedonRepresentationofShiftCurrentWavefmsbyRelationalTreesYangYunguoWangBojun(Inst.ofReliabilityTech.ShanghaiTiedaoUniv.Shanghai200331)AbstractShif

3、tcurrentisanimptantparameterintestingmonitingpointmachinesbutitisdifficultfanactualmethodtodetectfault.Thispaperfirstproposesindetailanalgrithmfrepresentationofromwavefmsbyrelationaltreeswhichcanfindoutrecursivelythepeak

4、setincurvesegmentationsmakingupthewholecurrentcurveintermoftheacteristicpoints.HeretheshiftcurrentdatasampledbythededicatedequipmentftestingmonitingtherailwaysignalapplianceareusedthenthefeaturesofshiftcurrentwavefmsofZD

5、6pointmachinesareanalyzed.Bycomputingtherepresentationofshiftcurrentwavefomsbyrelationaltreeseachstageinswitchshiftprocessislocatedrecognizedtherefethefaultsignalisdiscovered.Adiagnosisexampleisalsopresented.Finallytheap

6、plicablerangefthismethodisgiven.Keywdssignalsystemsidentificationpointmachinesrepresentationofwavefmsbyrelationaltrees0引言引言道岔是電氣集中故障率最高的設(shè)備之一，往往對(duì)行車安全和運(yùn)行秩序產(chǎn)生重大影響。轉(zhuǎn)轍機(jī)作為道岔轉(zhuǎn)換裝置，是實(shí)現(xiàn)聯(lián)鎖控制的關(guān)鍵設(shè)備，其性能隨零部件結(jié)構(gòu)狀態(tài)的變化而變化。動(dòng)作電流是考查轉(zhuǎn)轍機(jī)電氣特性的重要