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A fuzzy expert system for automatic seismic signal classification

机译：自动地震信号分类的模糊专家系统

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摘要

Automatic classification of seismic events is of great importance due to the large amount of data received continuously. Seismic analysts classify events by visual inspection and calculation of event signal characteristics. This process is subjective and demands hard work as well as a significant amount of time and considerable experience. A reliable automatic classification task considerably reduces the effort required and makes classification faster and more objective. The aim of this study is to develop a fuzzy rule based expert classification system that is able to imitate human reasoning and incorporate the analyst's knowledge of seismic event classification. The fundamental idea behind using this approach was motivated by the way in which human analysts classify seismic events based on a set of experiential rules. Additionally, this approach was chosen due to its interpretability and adjustability, as well as its ability to manage the complexity of real data. Relevant discriminant features are extracted from event signal. Using these features, the classification system was built based on the vote by multiple rule fuzzy reasoning method with three types of rules. Comparison of this method with the single winner classical fuzzy reasoning model was carried out. Classification results on real seismic data showed the robustness of the classifier and its capability to operate in on-line classification.
机译：由于连续接收大量数据，地震事件的自动分类非常重要。地震分析人员通过目视检查和事件信号特征的计算来对事件进行分类。该过程是主观的，需要艰苦的工作以及大量的时间和丰富的经验。可靠的自动分类任务可大大减少所需的工作量，并使分类更快，更客观。这项研究的目的是开发一种基于模糊规则的专家分类系统，该系统能够模仿人类推理并结合分析人员对地震事件分类的知识。使用此方法的基本思想是由人类分析人员根据一组经验规则对地震事件进行分类的方式所激发的。另外，之所以选择这种方法，是因为它具有可解释性和可调整性，以及能够管理实际数据的复杂性。从事件信号中提取相关的判别特征。利用这些特征，利用三类规则的多规则模糊推理方法，基于投票构建了分类系统。将该方法与单赢家经典模糊推理模型进行了比较。真实地震数据的分类结果表明分类器的鲁棒性及其在线分类中的操作能力。

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  • 来源
    《Expert Systems with Application》 |2015年第3期|1013-1027|共15页
  • 作者

    El Hassan Ait Laasri; Es-Saied Akhouayri; Dris Agliz; Daniele Zonta; Abderrahman Atmani;

  • 作者单位

    Electronic, Signal processing and Physical Modelling Laboratory, Department of Physics, Faculty of Sciences, Ibn Zohr University, B.P. 8106 Agadir, Morocco;

    Electronic, Signal processing and Physical Modelling Laboratory, Department of Physics, Faculty of Sciences, Ibn Zohr University, B.P. 8106 Agadir, Morocco;

    Electronic, Signal processing and Physical Modelling Laboratory, Department of Physics, Faculty of Sciences, Ibn Zohr University, B.P. 8106 Agadir, Morocco;

    Department of Civil, Environmental and Mechanical Engineering, University of Trento, via Mesiano 77, 38123 Trento, Italy;

    Electronic, Signal processing and Physical Modelling Laboratory, Department of Physics, Faculty of Sciences, Ibn Zohr University, B.P. 8106 Agadir, Morocco;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Seismic signal classification; Seismic signal feature extraction; Fuzzy rule based expert system; Fuzzy reasoning; Fuzzy set;

    机译：地震信号分类;地震信号特征提取;基于模糊规则的专家系统;模糊推理;模糊集;

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