Title :
Instrumentation for gathering data [DAQ systems]
Author :
Sachenko, Anatoly ; Kochan, Volodymyr V. ; Turchenko, Volodymyr O.
Abstract :
The main characteristic of the intelligent distributed data acquisition system we describe in this article is that it supports intelligent functions and provides the desired accuracy of measurement. It is also reliable and adaptable, utilising two NN-based methods of sensor drift prediction, which allows it to increase its inter-testing interval, and provides accuracy of sensor data processing. The system is designed on a distributed intelligence scheme, which operates in real time for most industrial sensors.
Keywords :
computerised instrumentation; data acquisition; distributed processing; distributed sensors; intelligent sensors; real-time systems; reliability; NN-based sensor drift prediction; adaptability; distributed data acquisition system; distributed intelligence; intelligent DAQ system; intelligent functions; inter-testing interval; measurement accuracy; real time systems; reliability; sensor data processing; Artificial neural networks; Calibration; Data acquisition; Instruments; Intelligent sensors; Intelligent systems; Neural networks; Sensor phenomena and characterization; Sensor systems; Testing;
Journal_Title :
Instrumentation & Measurement Magazine, IEEE
DOI :
10.1109/MIM.2003.1238339
