Detection of anomalous sequences in crack data of a bridge monitoring
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Date
2018
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Abstract
For estimating the remaining lifetime of old prestressed concrete bridges,
a monitoring of crack widths can be used. However, the time series of crack widths
show a strong variation mainly caused by temperature and traffic. Additionally, sequences
with extreme volatility appear where the cause is unknown. They are called
anomalous sequences in the following.We present and compare four methods which
aim to detect these anomalous sequences in the time series. Volatilities caused by
traffic should not be detected.