Shang, Ying https://orcid.org/0000-0001-6655-2877
Wang, Jiawen https://orcid.org/0009-0003-2867-8278
Huang, Sheng
Qu, Shuai
He, Qiujie
Wang, Meikun
Li, Di
Wang, Weitao
Liu, Guangqiang
Yao, Chunmei
Wang, Chen
Funding for this research was provided by:
Joint Natural Science Foundation of Shandong Province (ZR2020LLZ010)
Program of Shandong Province (2021CXGC010704)
Taishan Scholars Program (tsqn202211207)
Universities Youth Innovation and Technology Support Program of Shandong Province (2019KJJ004)
National Natural Science Foundation of China (62005137)
Natural Science Foundation of Shandong Province (2019KJJ004)
Innovation Project of Science and Technology SMES in Shandong Province (2022TSGC2049)
Innovation project of Computer Science and Technology of Qilu university of technology (2021JC02006)
Science, education and industry integration innovation pilot project of Qilu university of technology (2021JC02006)
Key R&D Program of Shandong Province (2021CXGC010704)
Article Title: Fault identification method based on generative adversarial network in distributed acoustic sensing
Journal Title: Measurement Science and Technology
Article Type: paper
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Publication dates
Date Received: 2023-06-04
Date Accepted: 2023-07-28
Online publication date: 2023-08-03