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

1. 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
1www.icgst.com
http://www.icgst.com/paper.aspx?pid=P1121340296

2. 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%.
2www.icgst.com
http://www.icgst.com/paper.aspx?pid=P1121340296
Approach to Seismic Signal Discrimination based on Takagi-Sugeno Fuzzy Inference
System
Abstract

3. 3www.icgst.com
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 University
http://www.fsa.ac.ma/

4. 4www.icgst.com
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.
Ibn Zohr University
http://www.fsa.ac.ma/

5. 5www.icgst.com
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.
Ibn Zohr University
http://www.fsa.ac.ma/

6. 6www.icgst.com
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.
Ibn Zohr University
http://www.fsa.ac.ma/

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