Weibull distribution as a criterion of emergency levels

Kuric Biały, Kuric Prostański, Kuric Korbiel, Ivan Kuric

Weibull distribution as a criterion of emergency levels

Číslo: 1/2024
Periodikum: Acta Montanistica Slovaca
DOI: 10.46544/AMS.v29i1.19

Klíčová slova: technical diagnostics, Weibull distribution, machine condition assessment, trend analysis, mini mining machines

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Anotace: In the exploitation of machinery and equipment, one of the most

important parameters is the dynamic state of the object. Observing
residual processes is the most popular method of assessing the
dynamic state. In particular, dynamic residual processes are a carrier
of diagnostic information. Measuring the vibrations and noise of
working mini-mining machines provides knowledge about the
dynamics of the assessed machinery. Many years of knowledge and
experience have allowed for the creation of diagnostic procedures.
Within most machines used in the industry, the procedures
considered standard allow for an effective diagnostic assessment
and optimal management of mini-mining machine exploitation. The
applicability of these standards is quite wide. However, there are
machines with parameters that prevent the application of said
standards. Mini-mining machines used in subterranean mining are
one of these machines. In the case of diagnostic assessment of
continuous miners, chain conveyors, as well as other machinery
used in the technological chain, the usage of assessment brackets
consistent with adopted standards is incorrect. In the diagnostic
assessment of these types of mini-mining machines, an analysis of
long-term trends is often used. The determination of acceptable
vibration levels is obtained heuristically through observations of the
damage up to the state of emergency. In the article, methods of mini
mining machines state assessment using models of machine
degradation, using Weibull distribution, are presented. The
presented method has been used in real results of vibration
measurement of underground machinery used in a coal mine. The
analyses showed a large effectiveness of the presented method.