Lipetsk State Technical University (Lipetsk, Russia):

A. P. Zhiltsov, Cand. Eng., Associate Prof., Head of the Chair of Metallurgical Equipment, e-mail: kaf-mo@stu.lipetsk.ru

A. V. Bocharov, Cand. Eng., Associate Prof.

Donbass State Technical University (Lugansk, Lugansk People`s Republic):
D. A. Vishnevsky, Cand. Eng., Associate Prof., Head of the Chair “Machines of Metallurgical Complex“
V. A. Kozachishen, Cand. Eng., Associate Prof.

The developed applied computer program has been presented for calculating the reliability indicators of metallurgical equipment and production risk in the metallurgical industry based on a mathematical model using failure factors relating to the “technical” and “personal” reasons. These reasons are associated in the enlarged flowchart of the modeling algorithm with organizational, sanitary and psychophysiological factors and mean time to failure, in order to improve the no-failure operation system of metallurgical equipment. In the applied computer program, the conceptual model is implemented according to a hierarchical principle with the provision of automatic maintenance of referential integrity through the implementation of relationships between tables. The developed program performs the formation of results that can be displayed or exported to third-party programs for their presentation in the form of tables in a text format or graphically. An analytical additive module for accounting for the fault-tolerance with the possibility to assess the failure of a specific part or an assembly based on mean time to failure analysis has been also implemented. Criterion assessment of the time to failure distribution was carried out according to the following laws: the normal distribution law is determined by the Martinez-Iglewicz normality test; the exponential distribution law — according to the Frocini test for exponentiality; the Weibull distribution — by the Mann – Scheuer – Fertig test; the uniform distribution law — by Frocini test. If necessary, it is possible to add other assessment and criteria modules. Reports of the alleged failure are prepared according to the priority of the part or assembly in the overall structure of the machine. The program is implemented as a client-server application and can support the work of several departments and bureaus both in the information accumulation mode and in the notifi cation mode with different lead times before the expected failure. As a result, it is possible to obtain the value of production risk in any part of the workshop or in a separate workplace, taking into account “technical” and “personal” failures.

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