The presented work provides an analytical assessment and methods for monitoring the technical condition of the manufactured products of a conventional large machine-building enterprise. To solve the problem, two tasks are identified: determination of the technical condition of products and control of parameters carried out under the regulations. Indicators and criteria characterizing the totality of product properties are classified and examples are given. It is also shown that in accordance with this methodology, using statistical modeling by the Monte Carlo method, it is possible to theoretically answer the questions posed. Provides basic information for a quantitative assessment of reliability indicators in general. The division of malfunctions is given: by reasons of occurrence, by mutual influence and by categorization. The conclusions to the work briefly talk about the implementation of the reliability assessment by calculation and experimental methods using a priori information about the values of the reliability indicators of the modernized systems and the reliability of their analogues.

1.
A. V.
Ripetskii
,
Russian Engineering Research
39
(
9
),
789
792
(
2019
). doi:
2.
D.
Levashkin
and
F.
Vasilyev
,
IOP Conference Series: Materials Science and Engineering
734
(
1
)
012008
(
2020
). doi:
3.
A. G.
Amosov
,
Journal of Physics: Conference Series
1889
(
4
)
042033
(
2021
). doi:
4.
E. V.
Mikhailova
,
Journal of Physics: Conference Series
1889
(
4
)
042063
(
2021
). doi:
5.
R. R.
Anamova
,
L. V.
Bykov
and
D. A.
Kozorez
,
Education Sciences
10
(
8
)
1
9
(
2020
). doi:
6.
A. V.
Azanov
,
M. V.
Azanov
,
A. G.
Amosov
,
S. V.
Khlopkov
and
A. A.
Khodyakov
,
IOP Conference Series: Materials Science and Engineering
632
(
1
)
012049
(
2019
). doi:
7.
A. V.
Azanov
,
A. G.
Amosov
,
S. V.
Khlopkov
and
A. A.
Khodyakov
,
International Journal of Advanced Trends in Computer Science and Engineering
8
(
5
),
2236
2239
(
2019
). doi:
8.
S. N.
Kiyankin
,
APRIORI. Series: Natural and technical sciences
6
, (
2014
).
9.
E. V.
Mikhailova
,
A. G.
Amosov
and
S.
Capulis
,
Journal of Advanced Research in Dynamical and Control Systems
,
12
(
7
),
978
983
(
2020
). doi:
10.
S. M.
Ermakov
,
Notes on the Monte Carlo Method. Marchuk Scientific Readings
2019
, (
2019
).
11.
N. G.
Yagovkin
,
E. M.
Luzhaeva
and
D.A.
Melnikova
,
Bulletin of the Samara Scientific Center of the Russian Academy of Sciences
2
(
1
), (
2015
). Retrieved 25.07.2021 from: https://cyberleninka.ru/article/n/upravlenie-nadezhnostyu-na-stadiyah-proektirovaniya-ekspluatatsii-oborudovaniya-i-vypolneniya-tehnologicheskih-protsessov-1
12.
E.V.
Lapshin
,
D.V.
Korshunov
and
A.S.
Vasiliev
,
Reliability of complex technical systems
. (
NiKa
,
Penza
,
2018
).
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