P1121340296

Approach to Seismic Signal Discrimination based on Takagi-Sugeno Fuzzy Inference System

E. H. Ait Laasri, E. Akhouayri, D. Agliz, A. Atmani Electronic, Signal processing and Physical Modelling

Laboratory, Physics’ Department, Faculty of Sciences, Ibn Zohr University, B.P. 8106, Agadir, Morocco

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http://www.icgst.com/paper.aspx?pid=P1121340296

http://www.icgst.com/paper.aspx?pid=P1121340296

The aim of the present study is to investigate and explore the potential of Takagi–Sugeno fuzzy inference system for seismic signal discrimination between quarry blast and earthquake events. Such fuzzy system can be an appropriate classification platform due to its robustness to incorporate imprecise knowledge and its capability of integrating different information as the one coming from expert knowledge and the information coming from mathematical expressions. Relevant seismogram charac-teristics are extracted from seismic signal based on time and frequency domains. Using these characteristics, a fuzzy classifier was built based on analyst experience. Classification result using real seismic data reveals that the classifier performance can achieve 100%.

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http://www.icgst.com/paper.aspx?pid=P1121340296Approach to Seismic Signal Discrimination based on Takagi-Sugeno Fuzzy Inference

System

Abstract

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E. H. Ait Laasri is in the final phase of his thesis at the University of Trento, Italy. He has received his Master’s degree in Electronics and signal processing from the University of Sciences Ibn Zohr, Morocco in 2008, and honors degree in Physics in 2006. His current research interests lie in developing a new real time system for managing the seismic local network of Agadir, signal processing, seismic signal detection and seismic events classification using artificial intelligence.

Ibn Zohr Universityhttp://www.fsa.ac.ma/

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E. S. Akhouayri is Professor of signal processing and instrumentation at the faculty of sciences, Ibn Zohr Uni-versity, Agadir, Morocco. He received his state doctorate in seismic signal processing and instrumentation at the Ibn Zohr University in 2002, and his doctorate in elec-tronics from Cadi Ayad University in 1989, where he also received his Master’s degree in Physics in 1986. He is charged of research since 2000, and he has been responsible for Agadir seismic network since that year. His research interests include development of seismic network of Agadir, seismic signal processing and instru-mentation. He has attended several international confe-rences in Seismology, and he is responsible for several projects in seismic signal processing. He had been the Head of Physics Department, Faculty of Sciences for the period (2003–2008) and responsible for Seismic Signal Processing Team for the period (2006-2009). Currently he is the Head of Electronic, Signal Processing and Phys-ics Modeling Laboratory. He is journal reviewer for IEEE Transaction on Instrumentation and Measurement.


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D. Agliz is Professor of Physics at the Faculty of sciences, Ibn Zohr University of Agadir, Morocco. Currently, he is the director of Agadir’s National School of Applied Sciences. He received his PhD in Physics in 1987 from the University of Rennes I, France, where he also received his master’s degree in Physics in 1984, and state doctorate in 1997. Since then he has carried out research in seismic signal processing. He joined the seismic signal research team since 2000. Currently he is the chief of such team and he is responsible for several projects in seismic signal processing. He had been the Head of Automatic, Electronic and Seismic Signal Processing Laboratory for the period (2005-2010). His recent work has focused on seismic signal classification and detection.


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A. Atmani is doctor. He received his thesis in seismic instrumentation and noise signal processing at Ibn Zohr University, Morocco. He has received his Master’s degree in Electronics from Ibn Zohr University in 2004, and honors degree in Physics in 1993. His current research interests focus on studying the response of the ground to the seismic background noise, the seismic exploration using the seismic hammer technique, as well as studying of the impact of quarry blasts on the structures.


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Engineering

P1121340296