• DocumentCode
    2701209
  • Title

    Application of RCM analysis based predictive maintenance in nuclear power plants

  • Author

    Huang, Lijun ; Chen, Yu ; Chen, Shijun ; Jiang, Hong

  • Author_Institution
    China Guangdong Nucl. Power Group, Suzhou Nucl. Power Res. Inst., Shenzhen, China
  • fYear
    2012
  • fDate
    15-18 June 2012
  • Firstpage
    1015
  • Lastpage
    1021
  • Abstract
    Maintenance optimization process in nuclear power plants (NPPs) has been driving the transition of maintenance strategies from time based preventive maintenance (PM) to systematic strategies depending on both equipment condition and reliability analysis in recent decades. Start with comparison of different types of maintenance strategies in currents NPPs, this paper pointed out that predictive maintenance (PdM) usually has evident advantages in both technical feasibility and cost-effectiveness, and expatiated the theoretical foundation and application methodology of PdM. Taking Daya Bay nuclear power base for example, this paper introduced in detail the applications and experience conclusion of Reliability-centered Maintenance (RCM) analysis based PdM management in NPPs, and presented the latest progress of researches and developments of PdM in Chinese nuclear power field.
  • Keywords
    nuclear power stations; power system management; preventive maintenance; Chinese nuclear power field; Daya Bay nuclear power base; equipment condition; maintenance optimization process; nuclear power plants; predictive maintenance; preventive maintenance; reliability analysis; reliability-centered maintenance analysis; Condition monitoring; Decision making; Inspection; Monitoring; Optimization; Reliability; condition monitoring; maintenance strategies; nuclear power plants (NPPs); predictive maintenance (PdM); reliability-centered maintenance (RCM);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Quality, Reliability, Risk, Maintenance, and Safety Engineering (ICQR2MSE), 2012 International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4673-0786-4
  • Type

    conf

  • DOI
    10.1109/ICQR2MSE.2012.6246396
  • Filename
    6246396