Advances in science and technology · 2008 · 23 citations · 0 references
EngineeringSystems EngineeringSensorsFault DetectionFault DiagnosisLatent Variable ModelsMultivariate AnalysisMultivariate StatisticsSensor NetworksFault Detection In Sensor NetworksMulti-sensor MonitoringMultisensor DiagnosticsMultivariate Anomaly DetectionMultivariate State-space ModelsMultivariate Statistical Fault DetectionSensor Fault DetectionSensor Fault Diagnosis
In this paper, three latent variable methods are implemented in a multivariate statistical analysis scheme for detecting and identifying faults in a multi-sensor network. The proposed methods are applied to a sensor network monitoring a MDOF dynamical system and the results are presented, compared and discussed.