Vibration source classification and propagation distance estimation system based on spectrogram and KELM

Vibration source classification and propagation distance estimation system based on spectrogram and KELM

Earth surface vibration signals source classification and propagation distance estimation attract increasing attention in recent years due to the wide applications in many areas. In this study, the authors develop a hybrid classification and propagation distance estimation algorithm for general eart...

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Bibliographic Details
Main Authors: Zhiyong Chen, Jiuwen Cao, Dongyun Lin, Jianzhong Wang, Xuegang Huang
Format: Article
Language:English
Published: Wiley 2019-01-01
Series:Cognitive Computation and Systems
Subjects:
signal representation
vibrations
learning (artificial intelligence)
feature extraction
signal classification
propagation distance estimation algorithm
general earth surface vibration sources
kernel-based extreme learning machine algorithm
vibration source classification
kelm + spec algorithm
periodic vibrations
aperiodic vibrations
propagation distance estimation system
hybrid classification
Online Access:https://digital-library.theiet.org/content/journals/10.1049/ccs.2018.0010

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https://digital-library.theiet.org/content/journals/10.1049/ccs.2018.0010

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