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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Xehetasun bibliografikoak

Egile Nagusiak:	Yuyuan Xie, Maoning Wang, Yuzhong Zhong, Lin Deng, Jianwei Zhang
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	MDPI AG 2023-04-01
Saila:	Sensors
Gaiak:	deep learning distributed optical fiber acoustic sensing unsupervised learning
Sarrera elektronikoa:	https://www.mdpi.com/1424-8220/23/8/4094
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