Abstract：Abstract: Research purposes: Structural health monitoringsystemusually assumethat thesensor can work normally， but sensor malfunctions often happen. Monitoring system will consider tlie data change caused by sensor malfunctions as structural damage，therefore，it is necessary to take into account in sensor malfunctions in order to reduce false alarm rate. Research conclusions ：( 1) Sensor failure makes tlie dimension of tlie sampling data or data size reduce，the sensor fault cause a drift of tlie sample average，that cause the run lengtli out of control in system increased according to the generated control limit. (2) In processing of the training data， the normal range of sensor output data can be got by building cointegration relationship， eliminate the influence of temperature， environment and load efect on identification of structure damage，and need not a large number of test data. (3 ) Sensor fault diagnosis strategy and double layer data processing model are put forward based on the analysis. Put the sensor fault diagnosis in data preprocessing module， and put structural damage identification in the diagnosis module， which is more convenient to system development. (4) The research results can provide reference for reducing the rate of false alarm of structural monitoring of t!ie railway station.
黄祖光，申兆武，陈艳春. 铁路站房结构损伤与传感器故障识别研究[J]. 铁道工程学报, 2017, 34(5): 78-82.
HUANG Zu - guang，SHEN Zhao - wu，CHEN Yan - chun. Research on the Identification between Structure Damage and Sensor Fault in Structural Monitoring of the Railway Station. Journal of Railway Engineering Society, 2017, 34(5): 78-82.
2017, Vol. 34 
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