A survey of the state of condition-based maintenance (CBM) in the nuclear power industry

被引：50

作者：

Ayo-Imoru, R. M. ^{[1
]}

Cilliers, A. C. ^{[1
]}

机构：

[1] North West Univ, Sch Mech & Nucl Engn, Hoffman St, ZA-2530 Potchefstroom, North West Prov, South Africa

来源：

ANNALS OF NUCLEAR ENERGY | 2018年 / 112卷

关键词：

Condition-based maintenance; Monitoring; Diagnostics; Prognostic; Maintenance stakeholders; SENSOR FAULT-DETECTION; ACOUSTIC-EMISSION; NOISE DIAGNOSTICS; PLANT; SYSTEM; VIBRATION; NETWORK; IDENTIFICATION; ALGORITHM; MODELS;

D O I：

10.1016/j.anucene.2017.10.010

中图分类号：

TL [原子能技术]; O571 [原子核物理学];

学科分类号：

0827 ; 082701 ;

摘要：

Condition-based maintenance (CBM) involves undertaking maintenance activities based on the health of the system. CBM has found useful applications in many industries. This paper presents a survey on the state of condition-based maintenance in the nuclear industry. This is achieved by systematically looking at the major phases of CBM, which are monitoring, diagnostics and prognostics. A methodical review has been done on these aspects of CBM. This includes the current practices in the nuclear industry and the ongoing research on the different methods and technologies being developed. This will give maintenance stakeholders and researchers an overview of the current practices and extent of research undertaken on condition-based maintenance in the nuclear industry. (C) 2017 Elsevier Ltd. All rights reserved.

引用

页码：177 / 188

页数：12

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