Fuzzy logic-based user interface design for risk assessment considering human factor: A case study for high-voltage cell

This paper presents a novel risk assessment model considering human factor based on the fuzzy logic approach. For the contribution of the literature, not only the number of people is included in the process of risk assessment, but also with the human factor as a quantitative entry in this study. A flexible and user-friendly risk assessment interface is developed using LabVIEW program, which puts at disposal different applications for the course material. Designed interface gives an opportunity to users to assess risks in a wide range of consequences containing many different combinations and options. The interface is tested for a 100-kV high-voltage cell as a case study. As a result, it is seen that the interface assesses plenty of input elements and possibilities in a short time. For this reason, the fuzzy logic approach is suggested as a suitable method for risk assessment.

[1]  J. P. Gupta,et al.  Security risk assessment: applying the concepts of fuzzy logic. , 2010, Journal of hazardous materials.

[2]  Mary Capelli-Schellpfeffer,et al.  Electrical Safety Handbook , 1994 .

[3]  T. Ross Fuzzy Logic with Engineering Applications , 1994 .

[4]  Ana Nieto-Morote,et al.  A fuzzy approach to construction project risk assessment , 2011 .

[5]  Serhat Kucukali Risk assessment of river-type hydropower plants using fuzzy logic approach , 2011 .

[6]  Jin Wang,et al.  A fuzzy-logic-based approach to qualitative safety modelling for marine systems , 2001, Reliab. Eng. Syst. Saf..

[7]  Xavier Cuny,et al.  Statistical modelling and risk assessment , 2003 .

[8]  Shenping Hu,et al.  Formal safety assessment based on relative risks model in ship navigation , 2007, Reliab. Eng. Syst. Saf..

[9]  Zaili Yang,et al.  Fuzzy risk assessment of oil and gas offshore wells , 2011 .

[10]  T. Elsayed Fuzzy inference system for the risk assessment of liquefied natural gas carriers during loading/offloading at terminals , 2009 .

[11]  Michael Hadjimichael,et al.  A fuzzy expert system for aviation risk assessment , 2009, Expert Syst. Appl..

[12]  P C Cacciabue,et al.  Human factors impact on risk analysis of complex systems. , 2000, Journal of hazardous materials.

[13]  Veikko Rouhiainen,et al.  Development of international risk analysis standards , 2002 .

[14]  X. G. Wang,et al.  A fuzzy fault diagnosis scheme with application , 2001, Proceedings Joint 9th IFSA World Congress and 20th NAFIPS International Conference (Cat. No. 01TH8569).

[15]  Jon Espen Skogdalen,et al.  Quantitative risk analysis offshore - Human and organizational factors , 2011, Reliab. Eng. Syst. Saf..

[16]  B. John Garrick,et al.  Probabilistic risk assessment practices in the USA for nuclear power plants , 2002 .

[17]  Zoe Nivolianitou,et al.  Embedding the human factor in road tunnel risk analysis , 2014 .

[18]  Faruk Aras,et al.  Laboratory Experiments for Electrical Insulation Courses Using a New High-Voltage Cell , 2007 .

[19]  M. Mannan,et al.  Application of fuzzy logic to explosion risk assessment , 2011 .

[20]  Xiaofu Xiong,et al.  Power System Risk Assessment Using a Hybrid Method of Fuzzy Set and Monte Carlo Simulation , 2008 .

[21]  Andrew Hale,et al.  Safety standards, risk analysis and decision making on prevention measures: implications of some recent European legislation and standards , 1990 .

[22]  Hyun-Ho Choi,et al.  A risk assessment methodology for incorporating uncertainties using fuzzy concepts , 2002, Reliab. Eng. Syst. Saf..