Recent developments in self validating seva sensors

23-Sep-2019 13:57 by 7 Comments

Recent developments in self validating seva sensors

To help developers and researchers and to provide a common ground of data validation algorithms and techniques, this paper presents a review of the most commonly used data validation algorithms, along with its usage scenarios, and proposes a classification for these algorithms.

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A SEVA sensor performs self-validation using device-specific techniques (e.g.

A novel strategy by using a multivariable relevance vector machine coupled with predictive filters for status self-validation of a multifunctional sensor is proposed.

The working principle and online updating algorithm of predictive filters are emphasized for multiple fault detection, isolation and recovery (FDIR), and the incorrect sensor measurements are validated online.

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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The AIRG was Awarded the Wheatstone Measurement Prize by the IET and NPL in 2007 for its Coriolis work.The multivariable relevance vector machine is then employed for the signal reconstruction of the multifunctional sensor to generate the final validated measurement values (VMV) of multiple measured components, in which its advantages of sparse models and multivariable simultaneous outputs are fully used.With all likely uncertainty sources of the multifunctional self-validating sensor taken into account, the uncertainty propagation model is deduced in detail to evaluate the online validated uncertainty (VU) under a fault-free situation while a qualitative uncertainty component is appended to indicate the accuracy changes of VMV under different types of fault. This allows the development of generic control system responses to changes in measurement quality without the need to interpret device-specific error-codes, leading to more efficient utilization and management of assets under abnormal process conditions that can significantly reduce costly unplanned shutdowns.The SEVA concept developed in the AIRG has contributed to the adoption of a (BSI7901 - Specification for data quality metrics for industrial measurement and control systems).The Sensor Validation Research Group was founded in 1988 to investigate the use of metrology, diagnostics and digital technology to validate industrial sensors.

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