TY  - BOOK
AU  - 
ED  - SpringerLink (Online service)
TI  - Safety and Risk Modeling and Its Applications
T2  - Springer Series in Reliability Engineering,
SN  - 9780857294708
AV  - TA169.7 
U1  - 658.56 23
PY  - 2011///
CY  - London
PB  - Springer London
KW  - Engineering
KW  - Computer simulation
KW  - Engineering design
KW  - System safety
KW  - Quality Control, Reliability, Safety and Risk
KW  - Simulation and Modeling
KW  - Engineering Design
N1  - 1.Reliability Modeling of Complex Systems -- 2.The Price of Safety and Economic Reliability -- 3.Reliability Analysis of Structures Under Hybrid Uncertainty -- 4.Maintenance and Warranty Concepts -- 5.Risk Analysis -- 6.Risk Importance Measures -- 7.Dependent Competing-Risk Degradation Systems -- 8.Risk and Design Management Based on Failure Mode -- 9.Risk-based Resource Allocation Models for Aviation Security -- 10.Complex Risk and Uncertainty Modeling for Emergent Aviation Systems: An Application -- 11.Sensor Management Problems of Nuclear Detection.-12. Risk Informed Decision Making in Nuclear Power Plants -- 13.Risk, Reliability, Safety, and Testing Case Study -- 14.Human Grasp Prediction and Analysis; ZDB-2-ENG
N2  - Safety and Risk Modeling presents the latest theories and methods of safety and risk with an emphasis on safety and risk in modeling. It covers applications in several areas including transportations and security risk assessments, as well as applications related to current topics in safety and risk. Safety and Risk Modeling is a valuable resource for understanding the latest developments in both qualitative and quantitative methods of safety and risk analysis and their applications in operating environments. Each chapter has been written by active researchers or experienced practitioners to bridge the gap between theory and practice and to trigger new research challenges in safety and risk. Topics include: safety engineering, system maintenance, safety in design, failure analysis, and risk concept and modelling. Postgraduate students, researchers, and practitioners in many fields of engineering, operations research, management, and statistics will find Safety and Risk Modeling a state-of-the-art survey of reliability and quality in design and practice
UR  - http://dx.doi.org/10.1007/978-0-85729-470-8
ER  -