Litcius/Paper detail

Detection and detectability of intermittent faults based on moving average <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" id="d1e2487" altimg="si4.svg"><mml:msup><mml:mrow><mml:mi>T</mml:mi></mml:mrow><mml:mrow><mml:mn>2</mml:mn></mml:mrow></mml:msup></mml:math> control charts with multiple window lengths

Yinghong Zhao, Xiao He, Michael Pecht, Junfeng Zhang, Donghua Zhou

2020Journal of Process Control19 citationsDOIOpen Access PDF

Topics & Concepts

GeneralizationSliding window protocolWindow (computing)Extension (predicate logic)Fault (geology)AlgorithmFault detection and isolationComputer scienceMultivariate statisticsMathematicsArtificial intelligenceMachine learningProgramming languageActuatorMathematical analysisOperating systemGeologySeismologyFault Detection and Control SystemsAdvanced Statistical Process MonitoringRisk and Safety Analysis
Detection and detectability of intermittent faults based on moving average <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" id="d1e2487" altimg="si4.svg"><mml:msup><mml:mrow><mml:mi>T</mml:mi></mml:mrow><mml:mrow><mml:mn>2</mml:mn></mml:mrow></mml:msup></mml:math> control charts with multiple window lengths | Litcius