DESIGN OF DIAGNOSTIC SIGNALS USING ELECTRICITY LINEAR RANDOM PROCESS WITH DISCRETE TIME ENERGY IN THEORY
Journal Title: Гірничі, будівельні, дорожні та меліоративні машини - Year 2016, Vol 1, Issue 87
Abstract
Purpose. The aim of work is modeling different diagnostic signals using white noise. Methodology/approach. The method of research is description of the use of linear stochastic processes for statistical modeling of diagnostic signals which arise in the power equipment. Findings. Using simulation models can significantly reduce the time of the experiment and further improve the accuracy and reliability of the diagnosis. When diagnosing electricity equipment raises the question of increasing the accuracy of diagnosis and probability carried out. Originality/value. Depending on constructive and operational requirements to bearing its tracks and rolling elements (balls) are treated with a specific surface roughness, which is characterized by high inequalities. For different types of bearings varies from 6,3.10-6 to 0,2.10-7 m. The intensity of individual pulses is random and depends on the size or degree of the defect roughness. Thus, in its nature physical process that causes bearing`s vibration is the stream that random in time and intensity pulses.
Authors and Affiliations
Mykhaylo Myslovych, Taras Prystaylo, Mykola Samoylenko
Keywords
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DESIGN OF DIAGNOSTIC SIGNALS USING ELECTRICITY LINEAR RANDOM PROCESS WITH DISCRETE TIME ENERGY IN THEORY
Purpose. The aim of work is modeling different diagnostic signals using white noise. Methodology/approach. The method of research is description of the use of linear stochastic processes for statistical modeling of diag...