Abstract
The specific nature of a robust approach is considered for analyzing the reliability of objects of the chemical industry on the example of a model for variation of a stream of breakdowns (running time to breakdown) for machines and units during the whole service life using a robust Huber strategy and a Hampel influence function. The adequacy of the parametric model proposed is confirmed by the results of studies applied to pumping and compressor units for a series of chemical products.
Similar content being viewed by others
References
P. Huber, Robustness in Statistics [Russian translation], Mir, Moscow (1984).
P. Hampel, E. Roncetti, P. Rousseau, and V. Shtael, Robustness in Statistics. Approach to the Main Influence Functions [Russian translation], Mir, Moscow (1989).
L. Sachs, Statistical Evaluation [Russian translation], Statistika, Moscow (1976).
V. S. Shubin and Yu. A. Ryumin, Reliability of Chemical and Oil-Processing Equipment: Teaching Aid [in Russian], KolosS, Moscow (2006).
M. Hollander and D. Wolfe, Nonparametric Methods of Statistics [Russian translation], Finansy i Statistika, Moscow (1983).
Author information
Authors and Affiliations
Additional information
__________
Translated from Khimicheskoe i Neftegazovoe Mashinostroenie, No. 7, pp. 39–40, July, 2008.
Rights and permissions
About this article
Cite this article
Shubin, V.S., Ryumin, Y.A. & Panina, E.V. Parametric robust evaluation of the operating reliability of objects of the chemical branch of industry. Chem Petrol Eng 44, 405–408 (2008). https://doi.org/10.1007/s10556-008-9078-7
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10556-008-9078-7