Safety Region Based Active Safety Methods

The safety region based active safety methods are discussed in this section. A safety region analysis model is proposed based on formalized description of some basic definitions like safety region estimation, multi-domain division and etc. Relative relationship between safety region boundary and system operating point can provide quantitative safety margin and optimal control information under various conditions. Furthermore, safety region based accident-causing model is also researched. In addition, in order to prevent future accidents, the relationship of the causation found out in each part of procedure is established by disclosing the interaction of the components in the system. Real rail transportation cases are studied to verify the performance of the proposed theory.

[1]  F.M.A. Ghali,et al.  Stability region estimation of hybrid multi-machine power system , 2000, Proceedings 9th IEEE International Workshop on Robot and Human Interactive Communication. IEEE RO-MAN 2000 (Cat. No.00TH8499).

[2]  Shengwei Mei,et al.  Power System Dynamic Security Region and Its Approximations , 2006, IEEE Transactions on Circuits and Systems I: Regular Papers.

[3]  René Amalberti,et al.  The paradoxes of almost totally safe transportation systems , 2001 .

[4]  Jingjing Pei,et al.  Applying systems thinking approach to accident analysis in China: case study of "7.23" Yong-Tai-Wen High-Speed train accident , 2015 .

[5]  Guo Zhi-tao Multi-classification Method of GA-SVM on Identifying Grade of Expansive Soils , 2009 .

[6]  Paul M. Salmon,et al.  A systems approach to examining disaster response: using Accimap to describe the factors influencing bushfire response , 2014 .

[7]  Corinna Cortes,et al.  Support-Vector Networks , 1995, Machine Learning.

[8]  Jens Rasmussen,et al.  Risk management in a dynamic society: a modelling problem , 1997 .

[9]  Amie R. Albrecht,et al.  Rescheduling rail networks with maintenance disruptions using Problem Space Search , 2013, Comput. Oper. Res..

[10]  Rogier Woltjer,et al.  Towards understanding work-as-done in air traffic management safety assessment and design , 2015, Reliab. Eng. Syst. Saf..

[11]  Nancy G. Leveson,et al.  A new accident model for engineering safer systems , 2004 .

[12]  Graziano Chesi,et al.  Estimating the domain of attraction via union of continuous families of Lyapunov estimates , 2007, Syst. Control. Lett..

[13]  Amie Albrecht Integrating railway track maintenance and train timetables , 2009 .

[14]  Che Hongkun Defects Identification by SVM-DS Fusion Decision-making with Multiple Features , 2010 .

[15]  Vladimir N. Vapnik,et al.  The Nature of Statistical Learning Theory , 2000, Statistics for Engineering and Information Science.

[16]  C.-fu Lin,et al.  Fuzzy Support Vector Machines with Automatic Membership Setting , 2005 .

[17]  Scott D. Sudhoff,et al.  Estimating Regions of Asymptotic Stability of Power Electronics Systems Using Genetic Algorithms , 2010, IEEE Transactions on Control Systems Technology.

[18]  Mathukumalli Vidyasagar,et al.  Maximal lyapunov functions and domains of attraction for autonomous nonlinear systems , 1981, Autom..