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Risk Assessment
Abbreviation: Load: 30(L) + 0(E) + 0(LE) + 0(CE)
Lecturers in charge: Prof. dr. sc. Vladimir Mikuličić
Prof. dr. sc. Zdenko Šimić
Lecturers:
Course description: Probabilistic risk assessment modeling. Defining failure types and hazards. Methods: FMEA, fault and event tree, Markov models and Petri nets. Human reliability assessment. Statistical base, data assessment, and extreme events. Uncertainty and sensitivity assessment (data, assumptions, model, quantification, and final results). Importance of uncertainty for the risk management. Methods exercises and applications. Risk assessment for the technological systems design and operation. Technological system maintenance, spare parts needs and economical evaluations based on risk assessment. Risk assessment of transient modes of operation. Environmental risk assessment for the life cycle operation. Fundamentals of risk management. Risk, safety and risk perception. Importance of risk perception for the risk assessment and risk management. Integrated risk management: multiple criteria, scenarios and total hazard.
Lecture languages: - - -
Compulsory literature:
1. Probabilistic Risk Assessment and Management for Engineers and Scientists H.Kumamoto, E.J.Henly IEEE Press Marketing,Piscataway, NJ 08855-1331 1996
2. Risk Modeling Assessment, and Management Y.Y. Haimes Wiley, 1998
3. Reliability Engineering and Risk Analysis: A Practical Guide M. Modarres, M. Kaminskiy, and V. Krivtsov Dekker, New York, N.Y. 1998
4. Risk Assessment of Power Systems Wenyuan Li Wiley 2005
Recommended literature:
5. IEEE Gold Book, Design of Reliable Industrial and Commercial Power Systems IEEE Std 493-1997, New York 1998
Legend
L - Lectures
E - Exercises
LE - Laboratory exercises
CE - Project laboratory
* - Not graded
Copyright (c) 2006. Ministarstva znanosti, obrazovanja i športa. Sva prava zadržana.
Programska podrška (c) 2006. Fakultet elektrotehnike i računarstva.
Oblikovanje(c) 2006. Listopad Web Studio.
Posljednja izmjena 2011-07-03