简介：Asanadvancedprocessdetectiontechnology,electricalimpedancetomography(EIT)haswideapplicationprospectsandadvantagesinmedicalimagingdiagnosis.However,aseriesofissuesneedtobeaddressedbeforeapplyingEITforbedsidemonitoring.Medicaldiagnosisandbedsidemonitoringaredynamicmeasuringprocess,wherethepositionsofmeasuringelectrodesandtheshapeofthedetectedfieldarechangingdynamical.Duetotheinabilitytocopewiththechangeableelectrodepositionsandvariousdynamicfields,existingEITsystemsaremainlyusedforindustrialdetectioninconditionofstaticmeasurementandvisualization.Inthispaper,weinvestigatethedynamicmeasurementandvisualizationofhumanbreastinEITfield,describethedesignofthemeasuringsensorsystem,andexpoundthemeasuringprinciple.Themaincomponentofthehardwaresystemisabuiltinservoelectricalresistancetomographysensorwithcapacitiveslidingrod,whichcanadapttothecrowdofdifferentchestcontourandthechangeofchestshapeinthedynamicprocessofbreathing.Thecorrespondingmeasuringprincipleisextractingallreal-timepositionsofmeasuringelectrodes,thenobtainingthedynamicboundary,finallydividingthedetectionfieldrapidly.Experimentalresultsconfirmedthattheproposedsystemcanobtainreal-timelocationofboundarysensoranddynamicallysolvetheproblemofarbitrary-shapeboundarymeasurement.Theimagingresultsvalidatetheavailabilityofdesignedsensorsystemandtheeffectivenessofthecorrespondingmeasuringprinciple.

简介：即时监视传感器的运作的状态并且差错的精确诊断是必要的。这份报纸为传感器建议一个改进差错诊断计划，它包括差错察觉和差错鉴定。第一，趋势分析与最少的广场结合了支持向量机器(TA-LSSVM)方法被建议并且实现了检测差错。第二，改正产量代码支持向量机器(ECOC-SVM)的一个改进错误基于差错鉴定方法被建议区分不同传感器失败模式。表明建议计划的有效性，实验与一个MTi系列传感器，和比较与另外的差错鉴定方法被做的一些被进行。试验性的结果证明建议差错诊断计划与察觉提供必要改进即时性质和更好的鉴定精确性。

简介：Thispaperaddressestheproblemonsensorfaultestimationandfault-tolerantcontrolforaclassofTakagi-SugenoMarkovianjumpsystems,whicharesubjectedtosensorfaultsandpartiallyunknowntransitionrates.First,theoriginalplantisextendedtoadescriptorsystem,wheretheoriginalstatesandthesensorfaultsareassembledintothenewstatevector.Then,anovelreduced-orderobserverisdesignedfortheextendedsystemtosimultaneouslyestimatetheimmeasurablestatesandsensorfaults.Second,byusingtheestimatedstatesobtainedfromthedesignedobserver,astate-feedbackfault-tolerantcontrolstrategyisdevelopedtomaketheresultingclosed-loopcontrolsystemstochasticallystable.Basedonlinearmatrixinequalitytechnique,algorithmsarepresentedtocomputetheobservergainsandcontrolgains.Theeffectivenessoftheproposedobserverandcontrollerarevalidatedbyanumericalexampleandacomparedstudy,respectively,andthesimulationresultsrevealthattheproposedmethodcansuccessfullyestimatethesensorfaultsandguaranteethestochasticstabilityoftheresultingclosed-loopsystem.