Bridge monitoring abnormal data identification method and system based on fusion sequence features

The invention discloses a fusion sequence feature-based bridge monitoring abnormal data identification method and system, and the method comprises the steps: obtaining bridge health monitoring data, extracting a feature vector of the monitoring data as a data point, constructing a data abnormity ide...

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Bibliographische Detailangaben
Hauptverfasser: XIAN RONG, SHI XIAOPENG, ZHANG TAIKE, LIU TIANCHENG, WANG YANG, ZHANG SONG, CHENG QIAN, WANG XIAONING, WU LINGZHENG
Format: Patent
Sprache:chi ; eng
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