V.V. Krivin scite author profile

The article deals with the concept of monitoring based on nonparametric statistics. It is supposed the possible application to monitor the technological systems of nuclear power plants. Modern complex plants and technogenic objects are equipped with industrial monitoring systems. The evolution of such systems in natural form is the generation of alternative concepts, constructs, and items selection for efficiency during operation

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

V.V. Krivin

Use of distribution mixtures with stochastic identification of multivariant objects

The Estimation of Randomization Parameters in the Analysis of Multivariate Random Processes

The Model for Thermal Calculation of Virtual Welding Joint Formation

Development of Methodical Recommendations to Improve Treatment Accuracy of Nuclear Engineering Products

The Conception of NPP Equipment Monitoring Based on Nonparametric Statistics and Trained Neural Network

Contact Info

Product

Resources

About