Litcius/Paper detail

Detection of intermittent faults based on an optimally weighted moving average <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" id="d1e256" altimg="si3.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 chart with stationary observations

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

2020Automatica66 citationsDOIOpen Access PDF

Topics & Concepts

Computer scienceAlgorithmMathematicsCombinatoricsFault Detection and Control SystemsAdvanced Statistical Process MonitoringQuality and Safety in Healthcare
Detection of intermittent faults based on an optimally weighted moving average <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" id="d1e256" altimg="si3.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 chart with stationary observations | Litcius