Method for determining the optimal time for diagnosing elements of rolling equipment
DOI:
https://doi.org/10.37142/2076-2151/2023-1(52)189Keywords:
diagnostics, rolling equipment, optimization, bearings, gear wheels, distribution law, mathematical statistics, element damage.Abstract
Kravchenko V., Ishchenko A., Rassokhin D., Nosovska O., Kapustin S. Method for determining the optimal time for diagnosing elements of rolling equipment
A technique has been developed for optimizing the time for diagnosing groups of rolling equipment elements that fail during operation as a result of wear, fatigue phenomena, etc. In particular, this primarily refers to the failure of rolling bearings and friction pairs of rolling mills, roller tables and other machines of the entire rolling line complex. In addition, gear wheels of gearboxes of critical mechanisms, for example, a pressure device of a rolling stand, gear stands of a rolling mill drive, are subject to these damages. The diagnostics of a complex of such elements requires a lot of time and is not always possible in rolling production. It is for this reason that it became necessary to optimize the time of the next diagnosis, depending on the laws of distribution of the rate of change in the indicators of damage accumulation taken as a basis, which are determined by fixing statistical data on the elements of rolling equipment. In turn, these statistics should take into account the results of replacements of failed elements of rolling equipment and correct these statistics in accordance with the changes that have occurred. In turn, these statistics should take into account the results of replacements of failed elements of rolling equipment and adjust these statistics in accordance with the changes that have occurred. Such a replacement provides for the selection of rolling equipment elements that do not ensure the equipment operation due to damage, and at the same time forms a vector of distribution of elements, which replacement is expedient. As a consequence of such a replacement, it becomes necessary to form a distribution vector for the accumulation of damage in newly installed elements. For further consideration of the question of the probability of element damage, it is necessary to use the law of distribution of the damage accumulation rate and its parameters by the method of mathematical statistics. The results obtained by means of an optimization technique can be used to improve the efficiency of service maintenance of rolling equipment, the depletion of resources of which can be assessed by means of technical diagnostics.
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