Sensors & Transducers, Vol. 24, Special Issue, August 2013, pp. 43-49
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© 2013 by IFSA
http://www.sensorsportal.com
Intelligent Analyzing System
Orest Ivakhiv, Petro Mushenyk, Yuriy Hirnyak
Lviv National Polytechnic University,
12 Bandera str., L’viv, 79013, Ukraine
Tel.: +38 032 2582151, +38 032 2582025
E-mail: oresti@polynet.lviv.ua
Received: 15 May2013 /Accepted: 16 August 2013 /Published: 30 August 2013
Abstract: Measurements of the observed parameters are carried out using a multiplex measuring system based
on the adaptive commutation principle. The unit of numerical reflection of the state of the object performs the
processing of non-redundant samples. The numerical procedure provides us with a specific number associated
with its vector. The information uncertainty numerical representation algorithm and its practical realization were
established, which makes it possible to carry out a current real time testing. Copyright © 2013 IFSA.
Keywords: Compression, Digital, Entropy, Intelligent, Measurement, Permutation, System.
1. Introduction
Modern technologies, especially the creation of
hydroelectric power station turbines, complicated
electromechanical devices or aviation turbo gas
engines, need numerous experimental investigations.
Nowadays, dozens or even hundreds of transducers
are employed as well as several hundreds or even
thousands of different physical parameters need to be
processed [1, 2]. For example, the testing of
electromagnetic machines, generators and
transformers turns out to be a very complicated
operation. It necessitates several dozens of different
parameters to be examined ( n i , 1 ). Automatic
testing systems for scientific research and for various
industrial purposes greatly increase the effectiveness
of the experiments conducted. These systems make it
possible to realize the operative formation of the
models of the phenomena and investigated processes,
to rationalize the testing control as well as to
facilitate the experimental tasks.
The measurement system is created for the
purpose of decreasing the uncertainty of the observed
objects. In the information theory sense, this
uncertainty is described by the object entropy [2].
Therefore, the entropy estimation mapping also
permits to evaluate the information state of the
object.
Anyway, the object entropy corresponds to the
activities of the totality sources that may be estimated
according to the observed behavior of the source
signals. Thus, there are no signal changes if the
object state is permanent, and, on the contrary, the
stability of the signals is suddenly disrupted when
some new unexpected situation emerges. The speed
of signal change causes the appearance of its
corresponding increment value. Obviously, the
comparison of deviations of signals of different
sources obtained at the same observation time
enables one to make a conclusion about their
activities. The larger deviation value testifies to the
faster speed of the signal change, i.e., its greater
current frequency. Having calculated the above
mentioned activities it is possible to estimate the
totality probability distribution of the sources, its
corresponding entropy, i.e., to perform the express
analysis of a state of the object.
Article number P_SI_430