Liu, Gang https://orcid.org/0000-0002-2506-0339
Li, Lili https://orcid.org/0000-0002-9008-9701
Zhang, Liangliang
Li, Qing https://orcid.org/0000-0001-6350-0502
Law, S S
Funding for this research was provided by:
the National Natural Science Foundation of China (51578095)
Graduate Scientific Research and Innovation Foundation of Chongqing (CYB18058)
111 project of China (B18062)
Article Title: Sensor faults classification for SHM systems using deep learning-based method with Tsfresh features
Journal Title: Smart Materials and Structures
Article Type: paper
Copyright Information: © 2020 IOP Publishing Ltd. All rights, including for text and data mining, AI training, and similar technologies, are reserved.
Publication dates
Date Received: 2019-10-26
Date Accepted: 2020-04-01
Online publication date: 2020-05-26