›› 2016, Vol. 36 ›› Issue (5): 18-.doi: 10.16708/j.cnki.1000-758X.2016.0051

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Detectionalgorithmofabnormalsubsequenceinpseudoperiodictimeseriesoftelemetry

 DU  Ying, LI  Si-Hu, HU  Shao-Lin, ZHANG  Le, WANG  Fei   

  1. 1SatelliteTelemeteringTrackingandCommandStation,XiaMen361023,China
    2KeyLaboratoryofSpacecraftInorbitFaultDiagnosisandMaintenance,Xi′an710043,China
  • Received:2015-12-01 Revised:2016-03-28 Online:2016-10-25 Published:2016-08-22

Abstract: Inordertodetecttheabnormalsubsequenceinthepseudoperiodictimeseriesofspacecrafttelemetry,asubsequencesegmentationalgorithmonthewiderangeofmaximumcyclewindowwasproposedbasedonthetwoconventionalsegmentationmethods.Then,ananomalysubsequencedetectionmethodbasedonanoptimizedsequencemodelwasbuiltbyusingthedoublequantilerangescriteriontosetthethresholdofthedistancedetection.Thesatelliteexperimentalresultsshowthatthemethodcaneffectivelydetecttheabnormalsubsequenceofsatellitetelemetrydata.

Key words: anomalydetection, satellitetelemetry, pseudoperiodic, timeseries, abnormalsubsequence, doublequantilerangescriterion