Fuzzy system for seismic signal classification

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Fuzzy system for seismic signal classification

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A new efficient technique for the classification of signals, in the form of earthquake-induced ground-acceleration time histories, according to the damage that they cause in buildings, is presented for the first time. A training set of real seismic accelerograms with well-known damage effects is utilised and fuzzy representations of prototype signals are extracted. These prototypes are selected with respect to the architectural and structural damage caused by the seismic-acceleration time histories. The classification of the unknown accelerograms takes place through a fuzzy comparison with the prototypes and each is classified to the most similar prototype. Real, seismic time–acceleration records were used for testing the algorithm and the high percentage of the correctly recognised signals prove the effectiveness of the algorithm. Correct classification rates of up to 84% are achieved.

Inspec keywords: earthquakes; seismology; geophysical signal processing; fuzzy set theory; signal representation; signal classification

Other keywords: seismic signal classification; fuzzy system; seismic-time-acceleration records; earthquake-induced ground-acceleration time histories; signal representation

Subjects: Combinatorial mathematics; Geophysics computing; Data and information; acquisition, processing, storage and dissemination in geophysics; Geophysical techniques and equipment; Signal processing and detection; Instrumentation and techniques for geophysical, hydrospheric and lower atmosphere research; Seismic sources; Combinatorial mathematics; Digital signal processing

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