Optimal synthesis of smart measurement systems with adaptive correction of drifts and setting errors of the sensor's working point

A.A. Platonov , Jerzy Szabatin , K. Jedrzejewski


This paper deals with a problem in optimal synthesis of smart measurement systems. A nonlinear model of the sensor is introduced, and directly applied to the derivation of optimal algorithms for processing measurement data. The analysis is performed for systems with both noncompensatory and compensatory sensors. It is assumed that a measurement is performed in the presence of random disturbances and noise. The algorithms developed take into account the limited input-output range of the sensor as well as the influence of its internal noise on measurement quality. Simultaneously, they automatically and optimally correct errors in the initial setting of the sensor's working point, as well as those caused by its random drift
Author A.A. Platonov
A.A. Platonov,,
, Jerzy Szabatin ISE
Jerzy Szabatin,,
- The Institute of Electronic Systems
, K. Jedrzejewski
K. Jedrzejewski,,
Journal seriesIEEE Transactions On Instrumentation And Measurement, ISSN 0018-9456
Issue year1998
Keywords in Englishadaptive correction, adaptive signal processing, adaptive systems, compensatory sensor, Error compensation, error correction, filtering theory, Information analysis, intelligent sensors, internal noise, limited input-output range, measurement data processing, measurement errors, measurement quality, measurement systems, noise measurement, noncompensatory sensors, nonlinear model, optimal algorithms, optimal synthesis, optimisation, performance analysis, performance evaluation, random disturbances, random drifts, random noise, Sensor phenomena and characterization, Sensor systems, sensor working point, setting errors, signal processing algorithms, smart measurement systems, voltmeters
Score (nominal)25
Publication indicators WoS Impact Factor [Impact Factor WoS]: 2006 = 0.572 (2) - 2007=0.952 (5)
Citation count*14 (2018-06-17)
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