SHM data anomaly classification using machine learning strategies: a comparative study

• Main Authors: Chou, Jau-Yu, Fu, Yuguang, Huang, Shieh-Kung, Chang, Chia-Ming
• Other Authors: School of Civil and Environmental Engineering
• Format: Article
• Language: English
• Published: 2022
• Subjects: Engineering::Civil engineering; Data Anomaly Classification; Ensemble Neural Network
• Online Access: https://hdl.handle.net/10356/161492
• Institution: Nanyang Technological University

Various monitoring systems have been implemented in civil infrastructure to ensure structural safety and integrity. In long-term monitoring, these systems generate a large amount of data, where anomalies are not unusual and can pose unique challenges for structural health monitoring applications, su...