HIGHLIGHTS
- who: Yuyuan Xie and collaborators from the Sichuan University National Key Laboratory of Fundamental Science on Synthetic Vision, Sichuan University, Chengdu, China have published the research: Label-Free Anomaly Detection Using Distributed Optical Fiber Acoustic Sensing, in the Journal: Sensors 2023, 23, 4094. of /2023/
- what: This study developed a label-free anomaly detection method based on DAS, which, to detect a variety of anomalous events, required only normal-state data for training.
- how: To address these challenges this paper proposes an unsupervised method that only learns normal data features. In this study . . .
If you want to have access to all the content you need to log in!
Thanks :)
If you don't have an account, you can create one here.