Abstract：Abstract ： Research purposes ： The rapid development of high - speed railway causes a large increase in the amount of the new long - span railway station. The health monitoring of the railway station has attracted attention , and building structural health monitoring system has become a research hotspot based on multivariate statistical process control methods. Research conclusions:Take Shijiazhuang station as an example, considering the design of the structure characteristics and environmental factors , this paper presents a structural health monitoring system including five - part based on multivariate statistical process control. ( 1 ) According to the engineering practice , the monitoring data model is constructed and its characteristics are analyzed. (2) Considering the uncertainty of environmental factors, the training data window , data size and control limit are determined , in order to reduce the false alarm. (3) The health monitoring and diagnosis system constructs T2 control chart and eases control chart for monitoring a set of variables related. (4) The two - tier data storage method meets the requirement of monitoring data real - time response. (5 ) The research not only enriches the practice of railway station building stricture health monitoring , but also provides reference for on - line monitoring system design of large buildings.
黄祖光,申兆武,刘军,陈艳春. 基于MSPC的铁路站房健康监测系统设计[J]. 铁道工程学报, 2016, 33(7): 83-87.
HUANG Zu - guang,SHEN Zhao - wu,LIU Jun,CHEN Yan - chun. The Design of Railway Station Structural Health Monitoring System Based on Multivariate Statistical Process Control. Journal of Railway Engineering Society, 2016, 33(7): 83-87.
2016, Vol. 33 
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