Title :
Error compensation in an intelligent sensing instrumentation system
Author :
Sachenko, A. ; Kochan, V. ; Kochan, R. ; Turchenko, V. ; Tsahouridis, K. ; Laopoulos, Th
Author_Institution :
Inst. of Comput. Inf. Technol., Ternopil Acad. of Nat. Econ., Ukraine
Abstract :
Methods of improving the measurement accuracy by estimation and correction of the maximum error components, are analyzed. The functional structure of the measurement channel in an intelligent sensing instrumentation system is described along with the procedures of component error correction. An experimental setup, implementing such methods in a multi-processing neural network configuration, is presented
Keywords :
computerised instrumentation; distributed sensors; error compensation; error correction; intelligent sensors; measurement systems; multiprocessing systems; perceptrons; component error correction; distributed measurement system; error compensation; hierarchical measurement system; intelligent sensing instrumentation system; maximum error components; measurement accuracy; multiprocessing neural network configuration; self-training; sensor drift; single-layer perceptron; software blocks; systematic errors; Error compensation; Error correction; Instruments; Intelligent sensors; Intelligent structures; Intelligent systems; Intersymbol interference; Neural networks; Sensor systems; Signal processing algorithms;
Conference_Titel :
Instrumentation and Measurement Technology Conference, 2001. IMTC 2001. Proceedings of the 18th IEEE
Conference_Location :
Budapest
Print_ISBN :
0-7803-6646-8
DOI :
10.1109/IMTC.2001.928201
