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STATE-OF-THE-ART OF INTELLIGENT INFORMATION PROCESSING APPLIED TO STRUCTURAL HEALTH MONITORING

机译:智能信息处理技术在结构健康监测中的应用

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It is an interesting issue how to monitor and manage large-scale structures so that the alarm will be warned before various accidents occur,thus the disaster loss can be decreased to be the minimum. Numerous long-term on-line structural health monitoring systems have been developed and installed in china. However,another problem arises gradually how to effectively deal with huge and abundant measured information from a structural health monitoring system,thus to asses structural condition states. In view of this,intelligent information processing,which is a process of transforming the incomplete,imprecise,inconsistent and uncertain information into complete,precise,consistent and certain information,provides an approach and technique assurance to solve the above difficulties. This paper started from the structural health monitoring and its primary issues,and then presents a survey and overview of the intelligent information and its application to structural health monitoring and damage diagnosis,including modern signal processing,neural network,fuzzy theory,data/information fusion,fractal theory,rough set and evolutionary computation. Further promising research in the future are discussed finally.
机译:如何监视和管理大型结构,使警报在各种事故发生之前得到警告,从而将灾难损失降到最低是一个有趣的问题。在中国已经开发并安装了许多长期的在线结构健康监测系统。然而,如何有效地处理来自结构健康监测系统的大量和丰富的测量信息,从而评估结构状态,逐渐出现了另一个问题。鉴于此,智能信息处理是将不完整,不精确,不一致和不确定的信息转换为完整,精确,一致和确定的信息的过程,为解决上述难题提供了一种方法和技术保证。本文从结构健康监测及其主要问题入手,然后对智能信息及其在结构健康监测和损伤诊断中的应用进行了综述和综述,包括现代信号处理,神经网络,模糊理论,数据/信息融合等。 ,分形理论,粗糙集和演化计算。最后讨论了将来有希望的研究。

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