References – Part III

Ardillon, E. (2010) SRA into SRA: Structural Reliability Analyses into System Risk Assessment, Det Norske Veritas, Høvik, Oslo, pp. 81–108.

Arena, U. (2012) Process and technological aspects of municipal solid waste gasification: a review. Waste Management, 32, 625–639.

Aven, T. (2012) On when to base event trees and fault trees on probability models and frequentist probabilities in quantitative risk assessments. International Journal of Performability Engineering, 8 (3), 311–320.

Aven, T. and Kvaløy, J.T. (2002) Implementing the Bayesian paradigm in practice. Reliability Engineering and System Safety, 78, 195–201.

Baraldi, P. and Zio, E. (2008) A combined Monte Carlo and possibilistic approach to uncertainty propagation in event tree analysis. Risk Analysis, 28, 1309–1325.

Baraldi, P., Zio, E., and Popescu, I.C. (2008) Predicting the time to failure of a randomly degrading component by a hybrid Monte Carlo and possibilistic method. International Conference on Prognostics and Health Management (PHM 2008).

Baraldi, P., Popescu, I.C., and Zio, E. (2010a) Methods of uncertainty analysis in prognostics. International Journal of Performability Engineering, 6, 303–331.

Baraldi, P., Popescu, I.C., and Zio, E. (2010b) Methods for uncertainty analysis in the reliability assessment of a degrading structure, in SRA into SRA: Structural Reliability Analyses into System Risk Assessment (ed. E. Ardillon), Det Norske Veritas, Høvik, Oslo, pp. 81–108.

Baraldi, P., Compare, M., and Zio, E. (2012) Dempster–Shafer Theory of Evidence to handle maintenance models tainted with imprecision. 11th International Probabilistic Safety Assessment and Management Conference and the Annual European Safety and Reliability Conference (PSAM11 ESREL 2012), vol. 1, pp. 61–70.

Baraldi, P., Compare, M., and Zio, E. (2013a) Maintenance policy performance assessment in presence of imprecision based on Dempster-Shafer Theory of Evidence, Information Sciences. doi: 10.1016/j.ins.2012.11.00.

Baraldi, P., Compare, M., and Zio, E. (2013b) Uncertainty analysis in degradation modeling for maintenance policy assessment. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, 227 (3), 267–278.

Barlow, R.E. (1998) Engineering Reliability, SIAM, Philadelphia, PA.

Bernardo, J.M. and Smith, A. (1994) Bayesian Theory, John Wiley & Sons, Ltd, Chichester.

Bigerelle, M. and Lost, A. (1999) Bootstrap analysis of FCGR: application to the Paris relationship and to lifetime prediction. International Journal of Fatigue, 21, 299–307.

BioEnergy Producers Association(2009) Evaluation of Emission from Thermal Conversion Technology Processing Municipal Solid Waste and Biomass. Final report from University of California (CE-CERT), Riverside, CA.

Burmaster, D.E. and Hull, D.A. (1997) Using lognormal distributions and lognormal probability plots in probabilistic risk assessments. Human and Ecological Risk Assessment, 3 (2), 235–255.

Chatelet, E., Berenguer, C., and Jellouli, O. (2002) Performance assessment of complex maintenance policies using stochastic Petrinets. Proceedings of the European Safety and Reliability Conference (ESREL 2002), Lyon, France, vol. 2, pp. 532–537.

European Union(2000) Directive 2000/76/EC of the European Parliament and of the Council of 4 December 2000 on the incineration of waste. Official Journal, L 332, 28.12.2000.

Henley, E.J. and Kumamoto, H. (1992) Probabilistic Risk Assessment, IEEE Press, New York.

Huang, D., Chen, T., and Wang, M.J. (2001) A fuzzy set approach for event tree analysis. Fuzzy Sets and Systems, 118, 153–165.

International Atomic Energy Agency(2007) IAEA Safety Glossary: Terminology Used in Nuclear Safety and Radiation Protection, IAEA, Vienna.

Jeong, I.S., Kim, S.J., Song, T.H.et al. (2005) Environmental fatigue crack propagation behavior of cast stainless steels under PWR condition. Key Engineering Materials, 297–300, 968–973.

Klein, A. (2002) Gasification: an alternative process for energy recovery and disposal of municipal solid wastes. MS thesis. Columbia University, New York.

Kozin, F. and Bogdanoff, J.L. (1989) Probabilistic models of fatigue crack growth: results and speculations. Nuclear Engineering and Design, 115, 143–171.

Marseguerra, M. and Zio, E. (2000a) System unavailability calculations in biased Monte Carlo simulation: a possible pitfall. Annals of Nuclear Energy, 27, 1589–1605.

Marseguerra, M. and Zio, E. (2000b) Optimizing maintenance and repair policies via a combination of genetic algorithms and Monte Carlo simulation. Reliability Engineering and System Safety, 68, 69–83.

Marseguerra, M. and Zio, E. (2002) Basics of Monte Carlo Method with Application to System Reliability, LiLoLe-Verlag, Hagen.

Marseguerra, M., Zio, E., and Martorell, S. (2006), Basics of genetic algorithms optimization for RAMS applications. Reliability Engineering and System Safety, 91, 977–991.

Mustapa, M.S. and Tamin, M.N. (2004) Influence of R-ratio on fatigue crack growth rate behavior of type 316 stainless steel. Fatigue & Fracture of Engineering Materials & Structures, 27, 31–43.

Nuclear Energy Research Center(1995) Nuclear power plant 2 operating living PRA. Report (Draft). Tao Yuan, Taiwan.

Papoulis, A. and Pillai, U. (2002) Probability, Random Variables, and Stochastic Processes, 4th edn, McGraw-Hill, New York.

Porteous, A. (2005) Why energy from waste incineration is an essential component of environmentally responsible waste management. Waste Management, 25, 451–459.

Provan, J.W. (1987) Probabilistic Fracture Mechanics and Reliability, Martinus Nijhoff, Amsterdam.

Pulkkinen, U. (1991) A stochastic model for wear prediction through condition monitoring, in Operational Reliability and Systematic Maintenance (ed. K. Holmberg and A. Folkeson), Elsevier, London, pp. 223–243.

Rao, K.S. (2005) Uncertainty analysis in atmospheric dispersion modelling. Pure and Applied Geophysics, 162, 1893–1917.

Reliability Manual for Liquid Metal Fast Reactor (LMFBR) Safety Programs (1974) General Electric Company International, Rep. SRD 74-113.

Remy, E., Idée, E., Briand, P., and François, R. (2010) Bibliographical review and numerical comparison of statistical estimation methods for the three-parameters Weibull distribution. Proceedings of the European Safety and Reliability Conference (ESREL 2010), Rhodes, Greece, pp. 219–228.

Ripamonti, G., Lonati, G., Baraldi, P.et al. (2012) Uncertainty propagation methods in dioxin/furans emission estimation models. Proceedings of the European Safety and Reliability Conference (ESREL 2011), Troyes, France, pp. 2222–2229.

Ripamonti, G., Lonati, G., Baraldi, P.et al. (2013) Uncertainty propagation in a model for the estimation of the ground level concentration of dioxin/furans emitted from a waste gasification plant. Reliability Engineering and System Safety, in press.

Ritchie, R.O. (1999) Mechanisms of fatigue-crack propagation in ductile and brittle solids. International Journal of Fracture, 100, 55–83.

SAFERELNET: Framework document on maintenance management(2006) http://www.mar.ist.utl.pt/saferelnet/ overview.asp.

Sax, T. and Isakov, V. (2003) A case study for assessing uncertainty in local-scale regulatory air quality modelling applications. Atmospheric Environment, 37, 3481–3489.

US, EPA(1995) User's Guide for the Industrial 1 Source Complex (ISC3) Dispersion Models. US Environmental Protection Agency report EPA-454/B-95-003b.

US, EPA (2005) Human Health Risk Assessment for Hazardous Waste Combustion Facilities. Report EPA/530/R-05/006, US EPA Office of Solid Wastes.

Van den Berg, M., Birnbaum, L., Bosveld, B.T.C.et al. (1998) Toxic Equivalency Factors (TEFs) for PCBs, PCDDs, PCDFs for humans and wildlife. Environmental Health Perspectives, 106, 775–792.

Yager, R.R. (1996) Knowledge-based defuzzification. Fuzzy Sets and Systems, 80, 177–185.

Yamada, S., Shimizu, M., and Miyoshi, F. (2004) Thermoselect Waste Gasification and Reforming Process. JFE technical report, no. 3, pp. 20–24.

Zille, V., Berenguer, C., Grall, A.et al. (2007) Modelling and performance assessment of complex maintenance programs for multi-component systems. Proceedings of the 32nd ESReDA Seminar and 1st ESReDA–ESRA Seminar, Alghero, Italy, pp. 127–140.

Zille, V., Despujols, A., Baraldi, P.et al. (2009) A framework for the Monte Carlo simulation of degradation and failure processes in the assessment of maintenance programs performance. Proceedings of the European Safety and Reliability Conference (ESREL 2009), Prague, Czech Republic, pp. 653–958.

Zio, E. (2007) An Introduction to the Basics of Reliability and Risk Analysis, World Scientific, Singapore.

Zio, E. (2009) Reliability engineering: old problems and new challenges. Reliability Engineering and System Safety, 94, 125–141.

Zio, E. (2012) The Monte Carlo Simulation Method for System Reliability and Risk Analysis, Springer Series in Reliability Engineering, Springer Verlag, Berlin.

Zio, E. and Compare, M. (2011) A snapshot on maintenance modeling and applications. Marine Technology and Engineering, 2, 1413–1425.

Zio, E. and Compare, M. (2013) Evaluating maintenance policies by quantitative modeling and analysis. Reliability Engineering and System Safety, 109, 53–65.