Recent developments in self validating seva sensors
Recent developments in self validating seva sensors - b o b bobby ray dating
A novel strategy by using a multivariable relevance vector machine coupled with predictive filters for status self-validation of a multifunctional sensor is proposed.
Specifically, SEVA sensors provide measurements of the variables and validity information about the measurements, which may include fault information about the sensors themselves.
Results demonstrate that the proposed scheme provides a better solution to the status self-validation of a multifunctional self-validating sensor under both normal and abnormal situations.
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A control unit utilizes the various SEVA metrics even when large numbers of SEVA sensors are used, a situation that is otherwise problematic due to difficulties in assimilating data from multiple SEVA sensors.
Accordingly, the control unit distinguishes sensor faults from actual process changes, and responds as needed, even when large numbers of SEVA sensors are implemented together.
Dr Henry won the IEE Control Division’s Achievement Medal in 1999 for his Coriolis work, while the UTC won the 2007 IET/NPL Measurement Prize for Coriolis metering developments.
His current focus is on three-phase flow, particularly for the oil and gas industry.
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Self-validating (SEVA) sensors implemented in a control process provide various metrics regarding sensed variables to a central control unit.
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The focus of his early research was the development of theory and prototypes of self-validating (SEVA) sensors, a concept formulated at Oxford and which is now the subject of a British Standard (BS-7905) specifying data quality metrics for industrial measurement and control systems.