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| 基于新奇检测技术的斜拉索状态评估 | |
| 引用本文： | 王修勇,温青,杨琪,余进修,贺雄伟.基于新奇检测技术的斜拉索状态评估[J].公路交通科技,2011,28(9):53-59. |
| 作者姓名： | 王修勇 温青 杨琪 余进修 贺雄伟 |
| 作者单位： | 1. 湖南科技大学 湖南省普通高等学校土木工程施工过程与质量安全控制重点买验室,湖南湘潭,411201 2. 广东省佛开高速公路有限公司,广东佛山,528051 3. 湖南省交通规划勘察设计院,湖南长沙,410008 |
| 基金项目： | 国家自然科学基金项目(51078142) |
| 摘 要： | 探讨了应用基于BP神经网络的新奇检测技术进行斜拉索状态评估的方法.通过对监测系统采集数据分析处理,生成训练神经网络需要的样本数据,按要求训练网络,建立了基于新奇检测技术的多阶段状态评估的神经网络模型,实现了斜拉索状态评估的两个阶段:状态预警、状态异常位置识别.状态异常位置识别采用逐步分区识别的方法,最终将损伤拉索的位置... |
| 关 键 词： | 桥梁工程 状态评估 新奇检测技术 斜拉索 健康监测系统 |
Condition Assessment for Stay Cables of Cable-stayed Bridge Based on Novelty Detection Technique |
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| WANG Xiuyong,WEN Qing,YANG Qi,YU Jinxiu,HE Xiongwei.Condition Assessment for Stay Cables of Cable-stayed Bridge Based on Novelty Detection Technique[J].Journal of Highway and Transportation Research and Development,2011,28(9):53-59. | |
| Authors: | WANG Xiuyong WEN Qing YANG Qi YU Jinxiu HE Xiongwei |
| Institution: | WANG Xiuyong1,WEN Qing1,YANG Qi2,YU Jinxiu3,HE Xiongwei3(1.Key Laboratory of the Construction Process,Quality and Safety of Civil Engineering,Hunan University of Science and Technology,Xiangtan Hunan 411201,China,2.Guangdong Foshan-Kaiyang Expressway Co.,Ltd.,Foshan Guangdong 528051,3.Hunan Provincial Communications Planning,Survey and Design Institute,Changsha Hunan 410008,China) |
| Abstract: | A method of condition assessment for stay cables by novelty detection technique based on BP neural network was discussed.The sample data for training neural network were generated by analyzing and processing the data collected by monitoring system.Trained networks as required,a multi-stage neural network model for condition assessment based on novelty detection technique was established.Thus the condition assessment was divided into two stages: condition alarming and locating of abnormal condition.The locat... |
| Keywords: | bridge engineering condition assessment novelty detection technique stay cable health monitoring system |
| 本文献已被 CNKI 万方数据 等数据库收录！ | |