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<article xmlns:xlink="http://www.w3.org/1999/xlink">
  <front>
    <journal-meta />
    <article-meta>
      <title-group>
        <article-title>Automation of Technical Synchronization Devices Diagnostics of Digital Signal</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <string-name>Valerii Koval</string-name>
          <email>v.koval@nubip.edu.ua</email>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Vitaliy Lysenko</string-name>
          <email>lysenko@nubip.edu.ua</email>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Ihor Bolbot</string-name>
          <email>igor-bolbot@ukr.net</email>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Oleksandr Samkov</string-name>
          <email>samkov@ied.org.ua</email>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Oleksandr Osinskiy</string-name>
          <email>osinskiy@usnan.org.ua</email>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Dmytro Kalian</string-name>
          <email>dmytro.kalian@gmail.com</email>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Vyacheslav Vakas</string-name>
          <email>v.vakas@ieee.org</email>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Inna Yakymenko</string-name>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Maksym Yevtushenko</string-name>
        </contrib>
        <aff id="aff0">
          <label>0</label>
          <institution>PJS “Kyivstar GSM”</institution>
          ,
          <addr-line>Degtyarivska str, 53, Kyiv, 03113</addr-line>
          ,
          <country country="UA">Ukraine</country>
        </aff>
      </contrib-group>
      <abstract>
        <p>Modern digital technologies require high-quality frequency-time support. In practice, the use of digital signal synchronization devices (DSSD), the purpose of which is the formation of clock signals, has become widespread. Various methods of technical diagnostics are used to ensure the specified quality of clock signals, increase the reliability and resource of the DSSD. The paper is devoted to solving an urgent problem, which is to develop software and hardware to automate the process of technical diagnostics of DSSD. It also investigates the automated system of technical diagnostics which is constructed on technology of multichannel monitoring with use of the sensor of the adaptive digital phase discriminator protected by the patent for an invention. The authors carried out the practical development and experimental researches of the diagnostic system using the multichannel sensor and the P4000winXP software. The research results confirm the possibility of transmitting the results of measurements of clock signals using IP technologies and conducting automated processing of the obtained data in real time, which increases the reliability of the operator's decision and simplifies the diagnostic process.</p>
      </abstract>
      <kwd-group>
        <kwd>automation</kwd>
        <kwd>technical diagnostics</kwd>
        <kwd>digital signal synchronization devices</kwd>
        <kwd>automated system</kwd>
        <kwd>sensor</kwd>
        <kwd>adaptive digital phase discriminator</kwd>
        <kwd>data processing</kwd>
        <kwd>IP technologies</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec id="sec-1">
      <title>1. Introduction</title>
      <p>
        State-of-the-art digital information and
communication systems, digital substations of
SMART Grid electrical networks, other technical
facilities using high technology, including the
country’s critical infrastructure, require
highquality time-and-frequency support. An important
role in such a support is played by the processes
of formation and transmission of clock signals,
which are based on modern digital information
processing technologies. In practice, the use of
digital signal synchronization devices (DSSD),
which are designed to generate and produce
synchronized signals that must meet the specified
technical requirements, has become widespread to
solve the problem of time-and-frequency support
[
        <xref ref-type="bibr" rid="ref1 ref2 ref3 ref4 ref5 ref6">1-6</xref>
        ].
      </p>
      <p>
        Various methods of technical diagnostics are
used in order to ensure the desired quality of clock
signals, reliability improvement and service life of
the DSSD. Technical diagnostics, through the
timely identification of inconsistencies and their
causes, improve maintenance, reliability and
efficiency of operation of DSSDs [
        <xref ref-type="bibr" rid="ref1 ref2 ref3 ref4 ref5 ref6 ref7 ref8">1-8</xref>
        ]. The result
of the diagnosis should be an assessment of the
state of the DSSD at the time of diagnostics, in
terms of its compliance or non-compliance with
the established requirements. The real indicators
and characteristics of DSSD can be obtained with
the help of diagnostic tools (equipment), which
together form a diagnostic system. Given the need
to use high-precision specialized measuring
equipment, which should provide continuous
long-term (hour, day and even week)
measurements with the formation of large arrays
of real-time measurement data, the task of
automating the process of technical diagnostics
becomes one of the most important and urgent
ones.
      </p>
      <p>
        The current approaches to solving the
problems of quality control and diagnostics of
DSSD at the stages of production, introduction
into service and maintenance do not meet modern
requirements for functionality. The existing
technical facilities in Ukraine do not have a
uniform system for transmitting accurate time
signals from reference standards and
consequently cannot meet the requirements of all
users of frequency-time information [
        <xref ref-type="bibr" rid="ref9">9</xref>
        ]; recent
publications pay attention to the topical study of
new solutions for the transfer of time scales using
IP technologies [
        <xref ref-type="bibr" rid="ref1 ref10 ref11 ref12 ref2 ref3 ref4 ref5 ref9">1-5, 9-12</xref>
        ], the measurement of
time characteristics of clock signals and the
diagnosis of DSSD.
2. Principles
automated
diagnostics
devices
of building an
system for the
of synchronization
      </p>
      <p>
        According to the results of the analysis of
technological processes of production and
technical operation (TPP TO) of DSSD, it is
established that the formation of clock signals
with the specified accuracy and reliability is
impossible without the use of automated control
of signal quality and diagnostics of the state of
devices and synchronization system as a whole
[112]. In the regulatory document on technical
information protection [
        <xref ref-type="bibr" rid="ref13">13</xref>
        ], the automated system
is defined as the “organizational and technical
system implementing the information technology
and uniting the computer system, the physical
environment, personnel and the information that
is processed.” As for the Automated Control
System, the State Standards of DSTU 2226-93
defines it as “an automated system intended for
automating the processes of collecting and
forwarding information about the control object,
its reprocessing and issuing control actions on the
control object”.
      </p>
      <p>The automated control system of these
technological processes in its structure provides
for the use of an automated subsystem of control
and testing, which according to DSTU 2226-93 is
designed to “automate the testing of industrial
products and control its performance for
compliance with regulations.”</p>
      <p>The generalized structural scheme of the
automated control system of TPP TO of DSSD
with the use of diagnostic results is shown in Fig.
1. The control process receives feedback through
digital technologies. In this case, from the
standpoint of information functioning, the control
process can be represented as a process of forming
data that is moved and processed. Therefore, the
functional composition of the information part of
the control system of TPP TO of DSSD can be
represented by the following subsystems:
measuring (data collection device), information
processing (calculation, storage, decision making
and formation of control actions) and
transmission.</p>
      <p>
        The analysis of the process of diagnosing
DSSD under the conditions of their production
and technical operation based on the system
approach determines the expediency of using
multichannel monitoring technology, which
provides multiple productivity of the diagnostic
process and increases the reliability of data
analysis results used to make decisions on TPP
TO technological process parameters [
        <xref ref-type="bibr" rid="ref10 ref2 ref3 ref8">2, 3, 8, 10</xref>
        ].
The multiple constitutive elements of an
automated diagnostic system are sensors, which
are measuring transducers that convert physical
quantities into digital electrical signals [
        <xref ref-type="bibr" rid="ref14">14</xref>
        ]. This
is due to the fact that the technology of
multichannel monitoring is based on the use of sensors
(hardware), geographically distributed by objects,
that perform continuous long-term measurements
(days, weeks) of several clock signals. The data
received from the sensors are processed and
transmitted via the IP network to the information
processing facilities where additional processing,
including statistical processing, is carried out.
      </p>
      <p>Decision-making tools are specific
components of an automated diagnostic system.
Being a control unit, they are composed of a
number of specialists and a body of knowledge,
competence and methods they possess.</p>
      <p>It is important that, in fact, it is on the basis of
these sensors that a decision is made on the
formation of the necessary control actions.</p>
      <p>
        Measuring multichannel tools, sensors
inclusive, have reference oscillators. Reference
oscillators (RO) are based on the principle of
automatic frequency control of a quartz oscillator
with deviation control and adaptive digital phase
discriminator (ADPD) [
        <xref ref-type="bibr" rid="ref15">15</xref>
        ]. GO directly or due to
the process of automatic frequency control from
external sources, forms the reference (sample)
time readings, which serve as references for
measuring the time intervals of the controlled
DSSD clock signals.
      </p>
      <p>
        It is scientifically substantiated that
calculations and estimations of DSSD
characteristics need to be carried out on the basis
of directly measured in time domain discrete
samples of an error of time which form the basic,
first level [
        <xref ref-type="bibr" rid="ref14">14</xref>
        ].
      </p>
      <p>In case of time error measurement at τ interval,
starting from the t moment, time interval error
function ТІЕt(τ) is used, which has the following
mathematical definition:
ТІЕt ( )  ТIt ( )  ТIОП ( ) 
 Т(t  )  Т(t) - ТОП (t  )  ТОП (t) 
 Т(t  )  ТОП (t 
)- Т(t)  ТОП (t),
(1)
where ТОП(t) – time function of the reference
(sample) signal;</p>
      <p>
        ТІt(τ) – time interval function, which is
determined from the expression:
ТІt ( )  Т(t  )  Т(t) , (2)
that “is a measure of the τ time interval, which
begins at time t, for the studied signal (provided
that there is an ideal reference signal)” [
        <xref ref-type="bibr" rid="ref15">15</xref>
        ], and
the time function Т(t) is determined by the
complete phase Р(t) for the nominal value of the
frequency н of the DSSD signal out of the
equation:
Т(t) 
Рt  .
      </p>
      <p>2н</p>
      <p>The next levels of the hierarchy of the process
of diagnosing DSSD should provide calculations
of TIErms and MTIE, characteristics of
instantaneous frequency, frequency fluctuations,
DSSD operating modes.</p>
      <p>
        For example, the MTIE estimate can be made
for the τ0 sampling period based on the results of
N measurements of evenly spaced discrete xi
samples, using the formula [
        <xref ref-type="bibr" rid="ref14 ref15">14, 15</xref>
        ]:
      </p>
      <p>MTIE(n 0 )  1mkaNxn(kmiakxnxi 
(3)
(4)
 min xi ),</p>
      <p>kikn
where n  1,2,..., (N 1) .</p>
      <p>
        It is possible to obtain the values of discrete
samples of time interval error ТІЕ measured in the
time domain by using an adaptive digital phase
discriminator (ADPD), which is protected by a
patent of Ukraine for an invention [
        <xref ref-type="bibr" rid="ref16">16</xref>
        ]. The
ADPD generates a code combination about the
magnitude of the time interval error of two
mutually independent clock signals and provides
the presentation of measurement results in a
digital format. Fig. 2 shows an ADPD circuit
containing an input to which a controlled clock
signal is applied (Input 1) and an input to which a
reference signal is applied (Input 2) [
        <xref ref-type="bibr" rid="ref17">17</xref>
        ]. К-inputs
of the pre-installation of the impulse counter
(numbered as 1…k), are К digital inputs of the
ADPD pre-installation. The digital outputs of the
sensor, which form a code combination that
corresponds to the error of the time interval
between signals, are the n-outputs of ADPD
(numbered as 1… n).
      </p>
      <p>The multi-channel measuring tools of the
automated diagnostics system have a certain
number of sensors which make it possible to
measure simultaneously the control of several
clock signals. In the process of measurements, the
control of the periodicity, amplitude and shape of
the clock signals is performed. The results of these
processes, presented in digital format, are
processed by a microcontroller and transmitted in
text format using IP technology.</p>
      <p>The principles of construction of multichannel
measuring tools make it possible to classify their
implementation as intelligent sensors that work on
rather complex algorithms and allow to provide
the device with additional functionalities, such as
signal filtering, adaptation, correction, failure
detection, reconfiguration of the measuring
circuit, etc.</p>
    </sec>
    <sec id="sec-2">
      <title>2.1. The results of implementing the automated diagnostics system</title>
      <p>The practical implementation of an automated
diagnostic system with a multi-channel meter and
the developed P4000winXP software provides the
possibility of simultaneous visualization of the
measurement results of four clock signals. In
addition to dynamic graphs, the monitor screen
displays service information (GO mode,
availability and format of controlled clock signals,
etc.), which expands the possibilities for
analyzing the data used by the operator in the
decision-making process.</p>
      <p>
        Figure 3 shows an example of the visualization
of measurement results obtained in real time from
four sensors. Text data generated by two sensors
selected by the operator is displayed as dynamic
graphs in real time. The figure shows fragments
of the parameters of TIE controlled clock signals
(Channel C0 and Channel C1) of two DSSD,
which are in different modes in the observation
time interval from 443 s to 1153 s [
        <xref ref-type="bibr" rid="ref14">14</xref>
        ]. In case
when four clock signals are simultaneously
connected to the diagnostic system, generated by
the DSSD, the productivity of measurements
correspondingly increases by four times
compared to the single-channel version.
      </p>
      <p>This example demonstrates the ability of the
developed software and hardware to provide
transmission using IP technology direct and
independent measurement results of TIE
controlled DSSD clock signals. Automated
realtime data processing with centralized
accumulation provides the presentation of
measurement results in an operator-friendly
format, which simplifies the diagnostic process
and increases the reliability of decision-making.</p>
    </sec>
    <sec id="sec-3">
      <title>3. Conclusions</title>
      <p>Based on the results of scientific and
innovative project developments and
experimental research performed within the state
budget, it can be stated that the created software
and hardware for automated diagnostics of digital
signal synchronization devices is the
state-of-theart system developed in Ukraine. The automated
system can be used effectively to monitor the
timing of clock signals in various sectors of the
country’s economy, as well as to enhance the
information sovereignty, defense and security of
the state.</p>
    </sec>
    <sec id="sec-4">
      <title>4. References</title>
    </sec>
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