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Research from Chongqing Jiaotong University in the Area of Intelligent Automation Published

机译:重庆交通大学智能自动化领域研究成果发表

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摘要

According to the authors of recent research published in the journal Intelligent Automation and Soft nComputing, "Based on the conception of bridge life and the traditional methods for evaluation of bridge nlife, in combination with the monitoring data obtained by bridge health monitoring system, this paper nproposes a novel research method for predicting life of the bridge structure based on one SVM pattern nrecognition. Key indicators of bridge life are firstly extracted from monitoring information."
机译:根据发表在《智能自动化与软nComputing》杂志上的最新研究的作者,“基于桥梁寿命的概念和评估桥梁nlife的传统方法,本文结合了桥梁健康监测系统获得的监测数据,提出了一种基于一种SVM模式识别的桥梁结构寿命预测的新方法,首先从监测信息中提取了桥梁寿命的关键指标。”

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