Fault tree analysis for risk assessment in the Borexino experiment

Process Safety Progress

Volumn 23, Issue 2, 2004, Pages 121-131

  Caputo, Antonio C ^a   Palumbo, Mario ^a   Tartaglia, Roberto ^b  

^a UNIVERSITY OF L'AQUILA   (Italy)

^b LABORATORI NAZIONALI DEL GRAN SASSO   (Italy)

Author keywords

Cost benefit analysis; Fault tree; Maintenance; Plant safety; Quantitative risk assessment

Indexed keywords

COST BENEFIT ANALYSIS; COST EFFECTIVENESS; INDUSTRIAL PLANTS; PREVENTIVE MAINTENANCE; PROBABILITY; RISK ASSESSMENT; SENSITIVITY ANALYSIS;

BOREXINO EXPERIMENT; STRUCTURAL CHANGES;

FAULT TREE ANALYSIS;

CHEMICAL; CHEMICAL ENGINEERING; HAZARD; MAINTENANCE; RISK ASSESSMENT;

EID: 4544219832     PISSN: 10668527     EISSN: None     Source Type: Trade Journal    
DOI: 10.1002/prs.10011     Document Type: Article

References (51)

1. J. Tixier, G. Dusserre, O. Salvi, and D. Gaston, Review of 62 risk analysis methodologies of industrial plants, J Loss Prev Process Ind 15 (2002), 291-303.
2. CCPS-Center for Chemical Process Safety, Guidelines for Hazard Evaluation Procedures, Center for Chemical Process Safety, American Institute of Chemical Engineers, New York, 1992.
3. CCPS-Center for Chemical Process Safety, Guidelines for Chemical Process Quantitative Risk Analysis, AIChE, New York, 2000.
4. D.A. Crowl and J.F. Louvar, Chemical Process Safety: Fundamentals with Applications, Prentice Hall, New York, 1999.
5. E.J. Henley and K. Kumamoto, Probabilistic Risk Assessment, IEEE Press, New York, 1992.
6. H. James, M.J. Harris, and S.F. Hall, Comparison of event tree, fault tree and Markov methods for probabilistic safety assessment and application to accident mitigation, Maj Haz Onshore Offshore (1992) 59.
7. F.I. Khan and S.A. Abbasi, Techniques and methodologies for risk analysis in chemical process industries, J Loss Prev Process Ind 11 (1998), 261-277.
8. T.A. Kletz, Hazop and Hazan: Identifying and Assessing Process Industry Hazards, 4th ed., Hemisphere Publishing, Washington, DC, 1999.
9. F.P. Lees, Loss Prevention in Process Industries, Butterworth, London, 1996
10. TNO, Guidelines for Quantitative Risk Assessment, Department of Industrial Safety, Purple Book (CPR 18E), Apeldoorn, The Netherlands, 1999.
11. J.D. Campbell, Uptime: Strategies for Excellence in Maintenance Management, Productivity Press, Portland, OR, 1995.
12. S.O. Duffuaa, A. Raouf, and J.D. Campbell, Planning and Control of Maintenance Systems: Modeling and Analysis, Wiley, New York, 1999.
13. B.W. Niebel, Engineering Maintenance Management, Dekker, New York. 1994.
14. D.J. Smith, Reliability, Maintainability and Risk: Practical Methods for Engineers, Butterworth-Heinemann, Oxford, 1993.
15. H.R. Greenberg and B.B. Slater, Fault Tree and Event Tree Analysis, Van Nostrand Reinhold, New York, 1992.
16. A.E. Elsayed, Reliability Engineering, Addison-Wesley, Reading, MA, 1996.
17. F.A. Tillman, C. Hwang, and W. Kuo, Optimization of Systems Reliability, Dekker, New York, 1980.
18. J.D. Andrews, optimal safety systems design using fault tree analysis, Proc Inst Mech Eng J Process Mech Eng 208 (Pt E) (1994), 123-131.
19. L. Pointon, and J. Campbell, genetic algorithms in optimization of systems reliability, IEEE Trans Reliabil 44 (2) (1995), 172-178.
20. R.L. Pattison and J.D. Andrews, Genetic algorithm in optimal safety systems design, Proc Inst Mech Engr J Process Mech Eng 213 (Pt E) (1999), 187-197.
21. H. Ascher and H. Feingold, Repairable Systems Reliability, Dekker, New York, 1984.
22. M. Ben-Daya and M. Hariga, A maintenance inspection model: optimal and heuristic solutions, Int J Qual Reliabil Manage 15 (1998), 481-488.
23. P.K. Banerjee and N.N. Chuiv, inspection policies for repairable systems, IIE Trans 28 (1996), 1003-1010.
24. R.E. Barlow and L.C. Hunter, Optimum preventive maintenance policies, Oper Res 8 (1960), 90-100.
25. R.V.,Canfield, Cost optimization of periodic preventive maintenance, IEEE Trans Reliabil R- 35 (1986), 78-81.
26. I.B. Gertsbakh, Models of Preventive Maintenance, North Holland, Amsterdam, 1977.
27. M. Hariga, A maintenance inspection model for a single machine with general failure distribution, Microelectron Reliabil 36 (1996), 353-358.
28. K.A.H. Kobbacy, D.F. Percy, and B. B. Fawzi, Sensitivity analyses for preventive maintenance models, IMA J Math Appl Bus Ind 6 (1995), 53-66.
29. V. Makis and A.K.S. Jardine, Computation of optimal policies in replacement models, IMA J Math Appl Bus Ind 3 (1992), 169-175.
30. M.A.K. Malik, Reliable preventive maintenance scheduling, AIIE Trans 11 (1979), 221-228.
31. T. Nakagawa, optimum preventive maintenance policies for repairable systems, IIEE Trans Reliabil R- 26 (1977), 168-173.
32. T. Nakagawa, replacement models with inspection and preventive maintenance, Microelectron Reliabil 20 (1980), 427-433.
33. T. Nakagawa, Periodic and sequential preventive maintenance policies, J Appl Probability, 23 (1986), 16-21.
34. D.G. Nguyen and D.N.P. Murthy, optimal preventive maintenance policies for repairable systems, Oper Res 29, 6 (1981), 1181-1194.
35. D.F. Percy and A. H. Kobbacy, determining economical maintenance intervals, Int J Prod Econ 67 (2000), 87-94.
36. CCPS-Center for Chemical Process Safety, Guidelines for Safe Automation of Chemical Processes, AIChE, New York, 1993.
37. R.A. Freeman, Reliability of interlocking systems, Process Safety Progr 13, 3 (1994), 146-152.
38. A.M. Dowell and D.L. Green, Formulate engineering shutdown systems by cookbook, Chem Eng Progr 4 (1998), 51-61.
39. L. Backman, Early assess complex safety loops, Chem Eng Progr 3 (2001), 57-59.
40. W.M. Goble, Control System Safety Evaluation and Reliability, ISA, Research Triangle Park, NC, 1998.
41. ISA-Instruments Society of America, Application of Safety Instruments Systems for the Process Industries, ANSI/ISA-S84.01.1996, ISA, Research Triangle Park, NC, 1996.
42. M. Abdel-Hameed, Inspection, maintenance and replacement models, Comput Oper Res 22, 4 (1995), 435-441.
43. M. Ben-Daya, S. O. Duffuaa and A. Raouf, Maintenance Modeling Optimization, Kluwer Academic, Dordrecht, 2000.
44. D. Cho and M. Parlar, a survey of maintenance models for multiunit systems, Eur J Oper Res 51 (1991), 1-23.
45. R. Dekker, On the use of operations research models for maintenance decisions making, Microelectron Reliabil 35 (1995), 1321-1331.
46. D.N.P. Murthy and E. Asgharizadeh, Optimal decision making in maintenance service operations, Eur J Oper Res 116 (1998), 259-273.
47. S. Ozekici (Ed.), Reliability and Maintenance of Complex Systems, NATO ASI Series, Springer, Berlin, 1996.
48. P. A. Scarf, On the application of mathematical models in maintenance, Eur J Oper Res 99 (1997), 493-506.
49. L.M. Pintelon, and L.F. Gelders, Maintenance management decision making, Eur J Oper Res 58 (1992), 301-317.
50. A.C. Caputo, P.M. Pelagagge, and R. Tartaglia, safety management in hazardous experimental environment: the Borexino case, Process Safety Prog 21, 1 (2002), 55-66.
51. A.C. Caputo, P.M. Pelagagge, and R. Tartaglia, Volatile Organic Compound Control in an Underground Experimental Facility: Technical and Safety Issues, Process Safety Prog 23, 1 (2004), 37-46.