Distributed Acoustic Sensing and Machine Learning for Engineering Event Detection by Tai-Yin Zhang.

This presentation explores how Distributed Acoustic Sensing (DAS) is utilized to monitor engineering events, with a focus on cable design, data acquisition, and event detection. It also covers how integrating DAS with machine learning enables the development of an automated system capable of accurately identifying and classifying various engineering events. This approach is designed to enhance the safety and reliability of critical infrastructure.