Cusp Anomaly Recognition Method for Structural Monitoring Data

WU Kui

doi:10.13204/j.gyjzG23010503

Volume 53 Issue 2

Feb. 2023

Turn off MathJax

Article Contents

Abstract

References

Article Navigation > INDUSTRIAL CONSTRUCTION > 2023 > 53(2): 37-41

Xu Gang, Wen Ting, Wang Qing, Fei Hongfang, Bao Hao. STUDY OF PROPERTIES OF CHLORIDE IONS TRANSPORTATION IN CONCRETE COVER UNDER THE STRAY CURRENTS ENVIRONMENT[J]. INDUSTRIAL CONSTRUCTION, 2014, 44(06): 73-76. doi: 10.13204/j.gyjz201406017

Citation:

WU Kui. Cusp Anomaly Recognition Method for Structural Monitoring Data[J]. INDUSTRIAL CONSTRUCTION, 2023, 53(2): 37-41. doi: 10.13204/j.gyjzG23010503

Citation:

WU Kui. Cusp Anomaly Recognition Method for Structural Monitoring Data[J]. INDUSTRIAL CONSTRUCTION, 2023, 53(2): 37-41. doi: 10.13204/j.gyjzG23010503

PDF( 1240 KB)

Cusp Anomaly Recognition Method for Structural Monitoring Data

doi: 10.13204/j.gyjzG23010503

WU Kui

China Railway Siyuan Survey and Design Group Co., Ltd., Wuhan 430063, China

Received Date: 2023-01-05
Available Online: 2023-05-25
Publish Date: 2023-02-20

Abstract

Abstract

Due to abnormal equipment or environmental noise, cusp anomaly data usually occurs in structural monitoring data. Manual handing is time-consuming, and cusp anomaly data disturbs the accuracy of alarm. Based on moving average filter and 3σ criterion, dual-window sliding filter was used for jump value anomaly recognition in structural monitoring. Abnormal data was translated to reasonable data by reasonable representative value of abnormal data based on 3σ criterion. The phenomenon of the jump of construction data was considered in moving average filter. Thus, misjudgment was solved. The proposed method was verified by real monitoring data in Hangzhouxi Railway Station. The results indicated that dual-window sliding filter could identify the abnormal jump point efficiently and avoid misjudgment by the phenomenon of the jump of construction data.
- moving average filter,
- abnormal data,
- monitoring,
- jump point

FullText(HTML)

References(10)

References

[1]	LUO Y, YE Z, GUO X, et al. Data missing mechanism and missing data real-time processing methods in the construction monitoring of steel structures[J]. Advances in Structural Engineering, 2015, 18(4):585-601.
[2]	许德旺. 基于桥梁监测数据的结构性能三层次评估方法[D]. 南京:东南大学, 2016.
[3]	罗永峰, 叶智武, 郭小农. 钢结构施工过程监测数据缺失机理与处理方法[J]. 同济大学学报(自然科学版), 2014, 42(6):823-829.
[4]	罗永峰, 叶智武, 王磊. 大型复杂钢结构施工过程监测系统研究现状[J]. 施工技术, 2015, 44(2):68-74.
[5]	沙定国. 误差分析与测量不确定度评定[M].北京:中国计量出版社, 2003:68-76.
[6]	梁晋文,陈林才,何贡. 误差理论与数据处理[M].北京:中国计量出版社,1989:66-68.
[7]	刘建,刘文金. 应用格罗布斯准则判定测量结果中的粗大误差[J].设计与研究,2006(2):20-21.
[8]	张世箕. 测量误差及数据处理[M].北京:科学出版社, 1979:42-46.
[9]	王鑫,吴先球,蒋珍美,等. 用Origin剔除线性拟合中实验数据的异常值[J].山西师范大学学报(自然科学版),2003,17(1):45-49.
[10]	雷洪. 粗差判别方法的比较与讨论[J].石油仪器, 1997,11(1):54-64.

Relative Articles

[1]	FAN Yongfeng, LUO Jin, XU Yan, GUO Qingbiao, WAN Zhansheng. Influence of Residual Settlement in Goafs on Stability of Deeply Excavated Slopes[J]. INDUSTRIAL CONSTRUCTION, 2024, 54(4): 166-172. doi: 10.3724/j.gyjzG22090705
[2]	WANG Qitong, SONG Shenyou, CHEN Weile, XIA Fengyong, CHEN Zhuojie. Study on Cushion Effect of Cement-Mixing-Pile Composite Foundation[J]. INDUSTRIAL CONSTRUCTION, 2023, 53(12): 211-215. doi: 10.13204/j.gyjzG22082308
[3]	JIANG Qinquan, GU Renguo, DENG Lei, FANG Yingguang. Experiment and Analysis of Filling Degrees in Foundation of Immersed Tube Tunnels Treated by the Sand Flow Method[J]. INDUSTRIAL CONSTRUCTION, 2022, 52(3): 24-28. doi: 10.13204/j.gyjzG21062306
[4]	GUO Kaiwen, ZHANG Kunyong, AI Yingbo, LI Wei, ZHOU Jiang. Dynamic Evaluation on Stability of Rubbish Dumps for Landfills in Long-Term Service[J]. INDUSTRIAL CONSTRUCTION, 2022, 52(12): 149-155. doi: 10.13204/j.gyjzG22031206
[5]	HUANG Ming, YU Zhou, LIU Xu. Intelligent Inversion for Material Parameters of Diversion Canal Slopes and Dynamic Stability Analysis[J]. INDUSTRIAL CONSTRUCTION, 2022, 52(10): 242-245. doi: 10.13204/j.gyjzG21121316
[6]	XIE Xiongyao, ZHANG Naiyuan, ZHOU Biao, WANG Xiaojia. ANALYSIS ON EVOLUTION LAWS AND CAUSES OF STRUCTURE PERFORMANCES FOR COASTAL IMMERSED TUNNELS IN SOFT SOIL[J]. INDUSTRIAL CONSTRUCTION, 2021, 51(7): 1-5,24. doi: 10.13204/j.gyjzG20102911
[7]	ZHOU Ying, CAI Youqing, ZHU Zhihui. EXPERIMENTAL STUDY OF DYNAMIC CHARACTERISTICS OF SAND WITH FINE GRAINS UNDER WAVE LOAD[J]. INDUSTRIAL CONSTRUCTION, 2020, 50(5): 58-65,30. doi: 10.13204/j.gyjz202005010
[13]	Yue Xiabing, Xie Yongli, Zhang Hongguang, Hu Zhinan. CENTRIFUGAL MODEL EXPERIMENT AND NUMERICAL SIMULATION OF IMMERSED TUBE TUNNEL[J]. INDUSTRIAL CONSTRUCTION, 2013, 43(6): 84-89. doi: 10.13204/j.gyjz201306018
[14]	Chen Jinfeng, Song Erxiang, Xu Ming. APPLICATION OF FEM WITH STRENGTH REDUCTION TO STABILITY ANALYSIS OF FILLED SLOPE ON INCLINED ROCK GROUND[J]. INDUSTRIAL CONSTRUCTION, 2012, 42(1): 103-109. doi: 10.13204/j.gyjz201201020
[15]	Zhang Xinlian, Song Erxiang, Xu Ming. INFLUENCE OF NONLINEAR STRENGTH OF ROCKFILL ON SLOPE STABILITY OF HIGH FILLS IN MOUNTAINOUS REGIONS[J]. INDUSTRIAL CONSTRUCTION, 2010, 40(12): 65-69. doi: 10.13204/j.gyjz201012017
[16]	He Yaping, Zhuang Zuocheng, Han Tianwei, Yu Changhai, Gao Jianzhong, Dong Lilei. DESIGN OF COMPOSITE PILE OF PRESTRESSED PIPE PILE AND CAISSON PILE[J]. INDUSTRIAL CONSTRUCTION, 2008, 38(9): 119-121. doi: 10.13204/j.gyjz200809034
[17]	Huang Zheng-rong, Liang Jing-hua. ANALYSIS OF THREE-DIMENSION SLOPE STABILITY BY STRENGTH REDUCTION FINITE ELEMENT METHOD[J]. INDUSTRIAL CONSTRUCTION, 2006, 36(6): 59-64. doi: 10.13204/j.gyjz200606018