Predictive maintenance for the heated hold-up tank

11th International Probabilistic Safety Assessment and Management Conference and the Annual European Safety and Reliability Conference 2012, PSAM11 ESREL 2012

Volumn 1, Issue , 2012, Pages 389-398

  De Saporta, BenoÎte ^a,b   Dufour, François ^a,b   Zhang, Huilong ^a,b  

^a UNIVERSITÉ DE BORDEAUX   (France)

^b INRIA   (France)

Author keywords

Hybrid process; Maintenance optimization; Numerical method; Piecewise deterministic markov process

Indexed keywords

CLOSED LOOPS; COMPONENT FAILURES; DISCRETIZATIONS; EARLY INTERVENTION; FAILURE RATE; HOLD UP; HYBRID PROCESS; LIQUID LEVEL; MAINTENANCE OPTIMIZATION; MAINTENANCE PROBLEM; OPTIMAL MAINTENANCE; OPTIMAL STOPPING PROBLEM; OUTLET VALVE; PIECEWISE DETERMINISTIC MARKOV PROCESS; PREDICTIVE MAINTENANCE; TEST CASE; THERMAL POWER; THREE COMPONENT;

MARKOV PROCESSES; NUMERICAL METHODS; OPTIMIZATION; SAFETY ENGINEERING; TANKS (CONTAINERS);

REPAIR;

EID: 84873150893     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (16)

1. Aven T., Jensen U. Stochastic models in reliability. Springer, New York. 1999.
2. Costa OLV., Davis MHA. Approximations for optimal stopping of piecewise-deterministic process. Math. Control. Signals Systems, 1, 123-146, 1988.
3. Davis MHA. Markov models and optimization. Chapman and Hall, London. 1997.
4. de Saporta B., Dufour F., Zhang H., Elegbede C. Optimal stopping for the predictive maintenance of a structure subject to corrosion. to appear in Proc. IMechE Part O: J. Risk and Reliability. 2012.
5. de Saporta B., Dufour F., Gonzalez K. Numerical method for optimal stopping of Piecewise Deterministic Markov processes. The Annals of Applied Probability. 20, 1607-1637, 2010.
6. Devooght J. Dynamic reliability. Advances in Nuclear Science and Technology. 25, 215-278, 1997.
7. Dufour F., Dutuit Y. Dynamic reliability: a new model. In proceedings of ESREL conference, 350- 353, 2002.
8. Gugerli U. Optimal stopping of a piecewise-deterministic Markov process. Stochastics. 19, 221-236, 1986.
9. Marseguerra M., Zio E. Monte Carlo approach to PSA for dynamic process systems. Reliability Engineering and System Safety. 52, 227-241, 1996.
10. Marseguerra M., Zio E. The cell-to-boundary method in Monte Carlo-based dynamic. Reliability Engineering and System Safety. 48, 199-204, 1995.
11. Pagès G. A space quantization methods for numerical integration. J. Comput. Appl. Math., 89, 1-38, 1998.
12. Pagès G., Pham H. Optimal quantization methods for nonlinear filtering with discrete-time observations. Bernoulli, 11, 892-932, 2005.
13. Pagès G., Pham H., Printems J. An optimal markovian quantization algorithm for multidimensional stochastic control problem. Stoch. Dyn., 4, 501-545, 2004.
14. Marseguerra M., Zio E. The cellto- boundary method in Monte Carlo-based dynamic. Reliability Engineering and System Safety. 48, 199-204, 1995.
15. Pagès G., Pham H., Printems, J. Optimal quantization methods and applications to numerical problems in finance. In Handbook of computational and numerical methods in finance, Birkhauser, Boston, 253- 297, 2004.
16. Zhang H., Gonzalez K., Dufour F., Dutuit Y. Piecewise Deterministic Markov Processes and Dynamic Reliability. Proc. IMechE Part O: J. Risk and Reliability. 222, 545-551, 2008.