A method is proposed for stochastic estimation of the time the parameters of monitored engineering objects will be within a specified range of tolerances based on the theory of mass servicing. An example is given of the application of this method to monitoring the parameters of equipment at nuclear power plants.
Similar content being viewed by others
References
Yu. S. Sysoev, “Analysis of the time of metrologically failure-free operation of measurement instrumentation by stochastic extrapolation methods,” Izmer. Tekhn., No. 1, 7–12 (2011).
Yu. S. Sysoev, “Analysis of drift in the metrological characteristics of measurement instrumentation by means of Markov chains,” Izmer. Tekhn., No. 1, 14–19 (2012).
Yu. S. Sysoev and A. I. Tikhomirova, “Analysis of the operational stability of measurement instruments by stochastic prediction of drift in their metrological characteristics,” Izmer. Tekhn., No. 6, 14–20 (2012).
Yu. S. Sysoev and N. A. Simakova, “Estimating the interval between tests of means of measurement by the methods of mass servicing theory,” Izmer. Tekhn., No. 12, 10–15 (2014).
B. G. Gnedenko and I. N. Kovalenko, Introduction to the Theory of Mass Servicing, Nauka, Moscow (1966).
Author information
Authors and Affiliations
Corresponding author
Additional information
Translated from Izmeritel’naya Tekhnika, No. 4, pp. 3–7, April 2016.
Rights and permissions
About this article
Cite this article
Sysoev, Y.S., Sal’nikov, A.A., Beketov, V.G. et al. Predicting the State of Engineering Objects Based on Current Monitoring of Their Parameters. Meas Tech 59, 345–350 (2016). https://doi.org/10.1007/s11018-016-0969-2
Received:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11018-016-0969-2