Label-Free Anomaly Detection Using Distributed Optical Fiber Acoustic Sensing

Deep learning anomaly detection is important in distributed optical fiber acoustic sensing (DAS). However, anomaly detection is more challenging than traditional learning tasks, due to the scarcity of true-positive data and the vast imbalance and irregularity within datasets. Furthermore, it is impo...

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Detalles Bibliográficos
Autores principales: Xie, Yuyuan, Wang, Maoning, Zhong, Yuzhong, Deng, Lin, Zhang, Jianwei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10144241/
https://www.ncbi.nlm.nih.gov/pubmed/37112435
http://dx.doi.org/10.3390/s23084094

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10144241/
https://www.ncbi.nlm.nih.gov/pubmed/37112435
http://dx.doi.org/10.3390/s23084094

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