Title: Methodology and hardware-software complex for diagnosing diesel generator units of nuclear power plants

Authors: E.A. Abidova; A.E. Dembitsky; A.V. Chernov

Addresses: Volgodonsk Engineering Technical Institute – A Branch of the Federal State Autonomous Educational Institution of Higher Education National Research Nuclear University 'MEPhI' (VITI NRNU MEPhI), Volgodonsk, 347360, Russian Federation ' Volgodonsk Engineering Technical Institute – A Branch of the Federal State Autonomous Educational Institution of Higher Education National Research Nuclear University 'MEPhI' (VITI NRNU MEPhI), Volgodonsk, 347360, Russian Federation ' Volgodonsk Engineering Technical Institute – A Branch of the Federal State Autonomous Educational Institution of Higher Education National Research Nuclear University 'MEPhI' (VITI NRNU MEPhI), Volgodonsk, 347360, Russian Federation

Abstract: The paper considers the task of improving the reliability of standby diesel generator sets of nuclear power plants (NPP) of the Russian Federation. A solution to the problem using a portable software and hardware diagnostic complex (I&C complex) that provides registration, processing, analysis and storage of data is proposed. The paper describes in detail the main provisions of the methodology to monitor the state of the object. A method of analysing the state of a diesel generator unit (DGU) based on representing an array of vibration and ultrasound parameters in the space of the main components is used. The results of I&C complex tests for the diagnostics of NPP DGU are presented. An assessment of the resource of equipment based on the results of diagnostics for risk management, improving equipment reliability and cost savings is proposed.

Keywords: backup power sources; safety risk management; vibration diagnostics; diagnostics of diesel generators; heat monitoring; ultrasonic parameters; indicator charts.

DOI: 10.1504/IJRAM.2021.126416

International Journal of Risk Assessment and Management, 2021 Vol.24 No.2/3/4, pp.97 - 116

Received: 23 Jul 2020
Accepted: 08 Jan 2021
Published online: 26 Oct 2022 *

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