Paper Details: Downloads: 1035
Serial Number: P1121340296
Title: Approach to Seismic Signal Discrimination Based on Takagi-Sugeno Fuzzy Inference System
Authors: E. H. Ait Laasri and E. Akhouayri and D. Agliz, A. Atmani
Abstract: 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%.
Keywords: Seismic discrimination, Seismic signal processing, Feature extraction, Takagi-Sugeno fuzzy inference.
Journal/Conference: International Journal of Artificial Intelligence and Machine Learning
Volume: 14
Issue: 1
Submission Date: 10/2/2013 12:00:00 AM
Review Date: 2/2/2014 12:00:00 AM
Publishing Date: 4/11/2014 12:00:00 AM
Article Downloads: 1035
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