Designing of Intelligent Measuring Systems of Nonelectric Quantities

Abstract

Nowadays we observe a steady tendency to broading of volumes and toughening of demands for measuring of physical, especially nonelectric quantities in industry and in research. It’s known that in this case the error of the transducer (T) is the main influencive factor on accuracy of measurement because of technological dispersion aiic nonstability (drift) of their conversion characteristics.. As the constructive-technological methods of lowering error of T at present are exhausted their possibilities it is expedient to use structural-algorithmic methods, particularly the methods of standard signals (method of calibrating) and auxiliary measurements (method of prognostigation) /1,2/ in order to solve the problem of accuracy measurement improvement.