DocumentCode :
3623365
Title :
Measuring the complexity of metrological systems´ signals
Author :
J. Drnovsek;I. Nancovska;R. Rape;D. Fefer;A. Jeglic
Author_Institution :
Fac. of Electr. & Comput. Eng., Ljubljana Univ., Slovenia
fYear :
1994
Firstpage :
487
Abstract :
This paper outlines the possibility of attaching the dimensions of complexity to signals in metrological systems. Deterministic chaos processes can produce signals with broad-band spectra similar to random processes. In the former case, chaotic systems have finite dimension of complexity, in the latter case true random processes ought to be infinite-dimensional. Given observed time series, a finite real number for calculated fractal dimension has been assumed to imply that a deterministic complex processes produced the observed time series. Signals generated by precision voltage sources, in our case produced by a solid state voltage reference elements (VRE-s) of a group DC voltage reference module (DC VRM) are treated like complex system´s signals. DC VRM consists of a parallel group with four VRE-s and a serial group of two elements acting as a master reference MR. By calculating the fractal dimensions, we are trying to understand and to classify the behaviour of each VRE and the behaviour of the whole group reference module DC VRM as a complex system. In order to understand the physical interpretation of the results of the fractal analysis and relate it to the common metrological requirements, the results are compared with typical statistical parameters.
Keywords :
"Fractals","Voltage","Signal processing","Time measurement","Computational modeling","Chaos","Phase measurement","Computer science","Joining processes","Random processes"
Publisher :
ieee
Conference_Titel :
Instrumentation and Measurement Technology Conference, 1994. IMTC/94. Conference Proceedings. 10th Anniversary. Advanced Technologies in I & M., 1994 IEEE
Print_ISBN :
0-7803-1880-3
Type :
conf
DOI :
10.1109/IMTC.1994.351913
Filename :
351913
Link To Document :
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