A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Time series method of data imputation in brdige health monitoring system
Because of shutting down of the power supply, disturbing or noise in transmission, replacement of sensors, and etc., the missing data is occurred frequently in bridge health monitoring system. If the bridge health monitoring system evaluates the state of bridge without the missing data, some useful information must be lost. In addition, most of bridge health monitoring system cannot treat the missing data. So, it is very important to find some efficient methods to deal with the missing data. In this paper, some examples occurred in an actual bridge health monitoring system are listed. According to these examples, SARIMA (seasonal autoregressive integrated moving average), a time series analyzing method, can be used to deal with missing data. The results show that this method can treat the missing data with a receivable error.
Time series method of data imputation in brdige health monitoring system
Because of shutting down of the power supply, disturbing or noise in transmission, replacement of sensors, and etc., the missing data is occurred frequently in bridge health monitoring system. If the bridge health monitoring system evaluates the state of bridge without the missing data, some useful information must be lost. In addition, most of bridge health monitoring system cannot treat the missing data. So, it is very important to find some efficient methods to deal with the missing data. In this paper, some examples occurred in an actual bridge health monitoring system are listed. According to these examples, SARIMA (seasonal autoregressive integrated moving average), a time series analyzing method, can be used to deal with missing data. The results show that this method can treat the missing data with a receivable error.
Time series method of data imputation in brdige health monitoring system
Zan, Xinwu (author) / Fu, YuMei (author)
2007
11 Seiten, 11 Bilder, 5 Quellen
Conference paper
English