Izvestiya vuzov. Yadernaya Energetika

The peer-reviewed scientific and technology journal. ISSN: 0204-3327

NPP equipment fault detection methods

12/05/2019 2019 - #04 Current issues in nuclear energy

Katser I.D. Kozitsin V.O. Maksimov I.V.

DOI: https://doi.org/10.26583/npe.2019.4.01

UDC: 621.039.588

Increased requirements for reliability and economic efficiency of nuclear power plants (NPP) lead to increased demand for modern solutions to the basic problems of diagnosing equipment faults, i.e., detecting, localizing, determining the causes and predicting the development of malfunctions. Advanced solutions based on statistical analysis, machine learning, intelligent signal processing and other methods have been successfully implemented in many industries, where they have proven their effectiveness, reducing the cost of equipment repair and maintenance.

The authors analyze methods used to solve problems of detecting faults and deviations in the operation of NPP equipment. The most common equipment fault detection methods are classified and compared, their advantages and disadvantages are described and the requirements for input data are given.

The result of the work is a generalization of fault detection methods to simplify their choice for solving specific problems. In addition, a review of literature sources is provided, links to works with a theoretical description of methods and examples of industrial applications are given.


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fault detection nuclear power plants advanced analytics diagnostics data analysis