A classification-based approach to monitoring the safety of dynamic systems

Shengtong Zhong; Helge Langseth; Thomas Dyhre Nielsen

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A classification-based approach to monitoring the safety of dynamic systems

机译：基于分类的方法来监视动态系统的安全性

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摘要

Monitoring a complex process often involves keeping an eye on hundreds or thousands of sensors to determine whether or not the process is stable. We have been working with dynamic data from an oil production facility in the North sea, where unstable situations should be identified as soon as possible. Motivated by this problem setting, we propose a general model for classification in dynamic domains, and exemplify its use by showing how it can be employed for activity detection. We construct our model by using well known statistical techniques as building-blocks, and evaluate each step in the model-building process empirically. Exact inference in the proposed model is intractable, so in this paper we experiment with an approximate inference scheme.

机译：监视复杂的过程通常涉及监视数百或数千个传感器，以确定过程是否稳定。我们一直在处理北海一家石油生产厂的动态数据，应尽快发现不稳定情况。受此问题的启发，我们提出了一种用于动态域分类的通用模型，并通过展示如何将其用于活动检测来举例说明其用法。我们使用众所周知的统计技术作为构建模块来构建模型，并凭经验评估模型构建过程中的每个步骤。所提出的模型中的精确推断是难以实现的，因此在本文中，我们尝试使用近似推断方案。

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来源
《Reliability Engineering & System Safety》 |2014年第1期|61-71|共11页
作者
Shengtong Zhong; Helge Langseth; Thomas Dyhre Nielsen;
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作者单位

Department of Computer and Information Science, The Norwegian University of Science and Technology, Trondheim, Norway;

Department of Computer and Information Science, The Norwegian University of Science and Technology, Trondheim, Norway;

Department of Computer Science, Aalborg University, Aalborg, Denmark;

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收录信息美国《科学引文索引》(SCI);美国《工程索引》(EI);
原文格式 PDF
正文语种 eng
中图分类
关键词
Monitoring; Anomaly detection; Dynamic classification; Hidden Markov models; Approximate inference;

机译：监控;异常检测;动态分类;隐藏的马尔可夫模型;近似推断;

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7. A classification-based approach to monitoring the safety of dynamic systems [O] . Zhong, Shengtong, Langseth, Helge, Nielsen, Thomas Dyhre 2014

机译：一种基于分类的方法来监控动态系统的安全性

A classification-based approach to monitoring the safety of dynamic systems

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