Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.22/6941
Título: Power Law Behavior and Self-similarity in Modern Industrial Accidents
Autor: Lopes, António M.
Machado, J. A. Tenreiro
Palavras-chave: Complex systems
Power laws
Accident data-series
Data visualization
Data: 2015
Relatório da Série N.º: International Journal of Bifurcation and Chaos;Vol. 25, Issue 1
Resumo: Advances in technology have produced more and more intricate industrial systems, such as nuclear power plants, chemical centers and petroleum platforms. Such complex plants exhibit multiple interactions among smaller units and human operators, rising potentially disastrous failure, which can propagate across subsystem boundaries. This paper analyzes industrial accident data-series in the perspective of statistical physics and dynamical systems. Global data is collected from the Emergency Events Database (EM-DAT) during the time period from year 1903 up to 2012. The statistical distributions of the number of fatalities caused by industrial accidents reveal Power Law (PL) behavior. We analyze the evolution of the PL parameters over time and observe a remarkable increment in the PL exponent during the last years. PL behavior allows prediction by extrapolation over a wide range of scales. In a complementary line of thought, we compare the data using appropriate indices and use different visualization techniques to correlate and to extract relationships among industrial accident events. This study contributes to better understand the complexity of modern industrial accidents and their ruling principles.
URI: http://hdl.handle.net/10400.22/6941
DOI: 10.1142/S0218127415500042
Versão do Editor: http://www.worldscientific.com/doi/abs/10.1142/S0218127415500042
Aparece nas colecções:ISEP - DEE - Artigos

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