首页|Adaptive decentralized AI scheme for signal recognition of distributed sensor systems

Adaptive decentralized AI scheme for signal recognition of distributed sensor systems

扫码查看
原文链接
  • 维普
  • 万方数据
Artificial intelligence(AI)plays a critical role in signal recognition of distributed sensor systems(DSS),boosting its appli-cations in multiple monitoring fields.Due to the domain differences between massive sensors in signal acquisition condi-tions,such as manufacturing process,deployment,and environments,current AI schemes for signal recognition of DSS frequently encounter poor generalization performance.In this paper,an adaptive decentralized artificial intelligence(ADAI)method for signal recognition of DSS is proposed,to improve the entire generalization performance.By fine-tun-ing pre-trained model with the unlabeled data in each domain,the ADAI scheme can train a series of adaptive AI models for all target domains,significantly reducing the false alarm rate(FAR)and missing alarm rate(MAR)induced by domain differences.The field tests about intrusion signal recognition with distributed optical fiber sensors system demonstrate the efficacy of the ADAI scheme,showcasing a FAR of merely 4.3%and 0%,along with a MAR of only 1.4%and 2.7%within two specific target domains.The ADAI scheme is expected to offer a practical paradigm for signal recognition of DSS in multiple application fields.

artificial intelligence(AI)signal recognitiondistributed sensor systems(DSS)distributed optical fiber sensors(DOFS)

Shixiong Zhang、Hao Li、Cunzheng Fan、Zhichao Zeng、Chao Xiong、Jie Wu、Zhijun Yan、Deming Liu、Qizhen Sun

展开 >

School of Optical and Electronic Information,National Engineering Research Center of Next Generation Internet Access-system,Huazhong University of Science and Technology,Wuhan 430074,China

Nanjing Research Institute of Electronic Equipment,Nanjing 210007,China

Wenzhou Quality and Technology Testing Research Institute,Wenzhou 325000,China

Jinyinhu Laboratory,Wuhan 430048,China

Optics Valley Laboratory,Wuhan 430074,China

PGMF and School of Physics,Huazhong University of Science and Technology,Wuhan 430074,China

展开 >

2024

10.29026/oea.2024.240119

光电进展(英文版)

光电进展(英文版)

EI
ISSN：
年,卷(期)：2024.7(12)