讲座题目：Innovative Data-Driven Techniquesfor Structural Health Monitoring
主 讲 人：李俊 博士 澳大利亚科廷大学
讲座时间：2018年12月27日（周四）上午10：00
讲座地点：铁路环境振动与噪声中心会议室11-301
讲座介绍：
Efficient dataanalysismining is one of the key issues in the field of structural healthmonitoring. The emerging techniques in digital technologiescomputingscience, i.e. artificial intelligencemachine learning, could be exploredfor use in civil engineering community. This presentation talks about therecent progress on developing data-driven techniques for structural healthmonitoring at Curtin University. The recent research activities include thefollowing aspects: 1) Operational modal identification of structures with improveddata analysis techniques. Closely spaced modes can be successfully identifiedand the false modes can be accurately removed;2) Development andapplication of a deep learning based sparse autoencoders framework forstructural damage identification. The developed approach enables to analyse amassive amount of monitoring dataprovide more accurate conditionpredictions under significant measurement noiseuncertainty
effects.
主讲人简介：
李俊博士，澳大利亚科廷大学土木工程系高级讲师，基础设施监测与防护研究中心核心成员。2004、2006年分别获华中科技大学本科，硕士学位；2012年获香港理工大学博士学位。主要研究方向为结构健康监测、信号处理与分析、人工智能技术研究与应用等。主持澳大利亚研究理事会优秀青年基金项目(DiscoveryEarly Career Researcher Award)，合作主持联接计划项目，重点工业转型科研中心项目等。发表SCI论文50余篇，担任国际期刊InternationalJournal of Lifecycle Performance Engineering副主编。
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