Improving machine reliability and efficiency by increasing the fatigue life of the components

Kasyanov, V. E.; Dudnikova, V. V.

doi:10.3103/s1068798x09110045

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“…A probabilistic assessment of machine reliability remains a relevant problem in modern mechanical engineering; one way to solve it consists in developing and enhancing methods for the statistical evaluation of the minimum service life, which is a reliability parameter [1][2][3][4][5]. The critical parts of ground transportation and technological facilities shall have a high level of reliability, i.e.…”

Section: Introductionmentioning

confidence: 99%

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Statistical Modeling for Assessment of Dipper Stick Service Life

Rogovenko

Zaitseva

2018

MSF

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This paper presents an evaluation of the minimum dipper stick service life in the unsafe cross-section; it is based on statistical simulation known as Monte Carlo method. Source data on the bearing capacity parameters as well as on the values of stresses in the unsafe cross-section are presented as small samples. Statistical simulation is used to create a finite general population of data on machine parts my means of an intermediate subpopulation using order statistics distributions.

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Section: Introductionmentioning

confidence: 99%

“…The economic conditions of modern production necessitate high reliability for the entire population of parts manufactured, which may consist of 10 4 or more units, while using only small samples for tests and monitoring. With such limited source data, the Monte Carlo method does work when combined with other statistical methods [1,6,7].…”

Section: Introductionmentioning

confidence: 99%