Acceleration data quality assessment for bridge structural health monitoring via statistical and deep-learning approach

This paper is supported by the National Key R&D Program of China (2019YFB1600702), the National Natural Science Foundation of China (51978508), and the Ministry of Hosing and Urban-Rural Development (K2019690). The authors are indebted to the Spanish Ministry of Economy and Competitiveness for the funding provided through the research project BIA2017-86811-C2-1-R directed by Jose Turmo.