“A considerable amount of time has passed since steam engines, steamers,
and railway engines have appeared. God saw that people’s life is difficult
and boring. Then he decided to help them once more and gave them
signals as a present. The devil saw this and created noises, which he mixed
up with the signals. People could not use noises and asked scientists to
spare them these troubles. People created methods and technologies of
filtration and suppression of noises. However, signals were distorted and
many valuable and concealed mysteries were lost together with the noise.”
This book shows that characteristics of signals and noises at the output of
sensors change continuously for both technical and biological objects at
the origin of a defect. The known classical conditions are not satisfied. The
time for a decision about the problem increases.
For these reasons, in some cases the detection of defects in information
systems turns out to be overdue. Sometimes it results in catastrophic consequences.
Taking into account these and other features of the initial stage of the
origin of the defect, several technologies are suggested. These technologies
allow one to perform the defect monitoring at the beginning of the defect’s
origin by extracting information from the noise. By duplicating and combining
the above technological advantages, a necessary degree of reliability
to the results is reached. These technologies are proved theoretically, and
the opportunity of their application for solving problems of noise monitoring
at the beginning of the defect’s origin in oil-gas extraction, in construction,
in power engineering, in transport, in seismology, in aviation, in
medicine, etc., is shown on numerous examples. In addition, they allow one
to improve the results of mathematical modeling, recognition, identification,
control, etc., and they can find wide application in solving numerous
problems where processing and analysis of signals are required in various
fields of science and technology.
The monograph is intended for teachers, post-graduate students, and
university students of all professions except the humanities, and also for
experts of power engineering, computer science, automation, physics, biology,
geophysics, oil-gas extraction, transport, aviation, control, medicine, etc.