Surveillance test and monitoring strategy for the availability improvement of standby equipment using age-dependent model

Abstract In many cases, the safety of a nuclear power plant greatly depends on the successful operation of specific standby equipment at the time of demand arrival. For the effective management of safety-critical standby equipment, unavailability measures are introduced and widely applied. In this study, we propose an age-dependent unavailability model for standby equipment that considers aging-relevant information, such as the number of actual operations, the elapsed time from installation, and maintenance activities, in an integrated manner. Based on the proposed model, we present two availability enhancement strategies: the Online Monitoring based Inspection Method (OMIM) and the Shortening Surveillance Test Interval Method (SSTIM). In the OMIM, ‘elapsed-time sensitive׳ elements are monitored, without actual operation, at the differentiated monitoring interval with the help of sensing devices. For the remaining parts of the elements, actual testing is performed with an adaptive interval for each standby turn by the SSTIM. The effectiveness of the proposed enhancement schemes is demonstrated through a case study for the motor-operated valve (MOV). It is our belief that the proposed schemes can be widely applied in areas such as equipment testing, maintenance strategies, dynamic probabilistic safety assessment (PSA), and risk-informed regulations.

[1]  Dong Seong Kim,et al.  Reliability and availability analysis for an on board computer in a satellite system using standby redundancy and rejuvenation , 2012, Journal of Mechanical Science and Technology.

[2]  Gregory Levitin,et al.  Optimization of predetermined standby mode transfers in 1-out-of-N: G systems , 2014, Comput. Ind. Eng..

[3]  Marko Čepin,et al.  Evaluation of risk and cost using an age-dependent unavailability modelling of test and maintenance for standby components , 2011 .

[4]  Marko Čepin,et al.  The price of risk reduction: Optimization of test and maintenance integrating risk and cost , 2011 .

[5]  Sofía Carlos,et al.  Constrained optimization of test intervals using a steady-state genetic algorithm , 2000, Reliab. Eng. Syst. Saf..

[6]  H. Buchner,et al.  Comparative evaluation of active vs passive system designs , 1994 .

[7]  J. L. Crowley,et al.  Evaluation of the Motor-Operated Valve Analysis and Test System (MOVATS) to detect degradation, incorrect adjustments, and other abnormalities in motor-operated valves , 1986 .

[8]  Gennadij V. Arkadov,et al.  Probabilistic safety assessment for optimum nuclear power plant life management (PLiM) , 2012 .

[9]  Serkan Eryilmaz Reliability of a K-Out-of-n System Equipped With a Single Warm Standby Component , 2013, IEEE Transactions on Reliability.

[10]  M. S. Kadyan Reliability and Profit Analysis of a Single-Unit System with Preventive Maintenance Subject to Maximum Operation Time , 2013 .

[11]  Leon Cizelj,et al.  Nuclear Power Plant Maintenance Optimization with Heuristic Algorithm , 2014 .

[12]  Pauli Adriano de Almada Garcia,et al.  Testing and preventive maintenance scheduling optimization for aging systems modeled by generalized renewal process , 2009 .

[13]  Sebastian Martorell,et al.  Risk analysis of surveillance requirements including their adverse effects , 1994 .

[14]  Philippe Delsarte,et al.  On the optimal scheduling of periodic tests and maintenance for reliable redundant components , 2006, Reliab. Eng. Syst. Saf..

[15]  Poong Hyun Seong,et al.  Quantification of unavailability caused by random failures and maintenance human errors in nuclear power plants , 2010 .

[16]  Sebastian Martorell,et al.  Quantitative evaluation of surveillance test intervals including test-caused risks , 1992 .

[17]  B. Mavko,et al.  Probabilistic safety assessment improves surveillance requirements in technical specifications , 1997 .

[18]  D. N. P. Murthy,et al.  Complex System Maintenance Handbook , 2008 .

[19]  Genqi Xu,et al.  Optimal repair strategies for a two-unit deteriorating standby system , 2014, Appl. Math. Comput..

[20]  Jinkyun Park,et al.  A framework for evaluating the effects of maintenance-related human errors in nuclear power plants , 2010, Reliab. Eng. Syst. Saf..

[21]  Sebastián Martorell,et al.  Age-dependent models for evaluating risks and costs of surveillance and maintenance of components , 1996, IEEE Trans. Reliab..

[22]  Liudong Xing,et al.  Binary decision diagram-based reliability evaluation of k-out-of-(n + k) warm standby systems subject to fault-level coverage , 2013 .

[23]  Sonia M. Orlando Gibelli,et al.  Risk-Based Allowed Outage Time and Surveillance Test Interval Extensions for Angra 1 , 2012 .

[24]  D. G. Satterwhite,et al.  An aging failure survey of light water reactor safety systems and components , 1987 .

[25]  Sebastian Martorell,et al.  Age-dependent reliability model considering effects of maintenance and working conditions , 1999 .

[26]  W. E. Vesely,et al.  Evaluations of core melt frequency effects due to component aging and maintenance , 1990 .

[27]  Jin Jiang,et al.  Analysis of on-line maintenance strategies for k-out-of-n standby safety systems , 2007, Reliab. Eng. Syst. Saf..

[28]  M. S. Kadyan,et al.  Cost analysis of a two-unit cold standby system subject to degradation, inspection and priority , 2012 .

[29]  Gregory Levitin,et al.  Minimum Mission Cost Cold-Standby Sequencing in Non-Repairable Multi-Phase Systems , 2014, IEEE Transactions on Reliability.

[30]  Albert F. Myers,et al.  k-out-of-n: G System Reliability With Imperfect Fault Coverage , 2007, IEEE Trans. Reliab..

[31]  Sebastián Martorell,et al.  Modelling and optimization of proof testing policies for safety instrumented systems , 2009, Reliab. Eng. Syst. Saf..

[32]  Tunc Aldemir,et al.  Optimization of standby safety system maintenance schedules in nuclear power plants , 1996 .

[33]  Marko Čepin,et al.  Optimization of test interval for ageing equipment: A multi-objective genetic algorithm approach , 2011 .