David Hind is an author at University of Nottingham specializing in electrical engineering, measurement, and condition monitoring.
Top concepts
EngineeringMeasurementCondition MonitoringElectrical EngineeringSensorsEducationMechatronicsSensor DesignInstrumentationOptical Sensors
Publications per year
2013–2017
3
3
Use of an artificial neural network for current derivative estimation
David Hind, Mark Sumner, Chris Gerada · 2013 · 12 citations
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