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
AbstractThis 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
|Journal series||IEEE Transactions On Instrumentation And Measurement, ISSN 0018-9456|
|Keywords in English||adaptive 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|
|Publication indicators||: 2006 = 0.572 (2) - 2007=0.952 (5)|
|Citation count*||14 (2018-06-17)|
* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.