Abstract:
A pattern recognition method based on 1-D CNN for third-party interference is proposed and demonstrated. Assisted with fiber optic distributed acoustic sensing (DAS) syst...Show MoreMetadata
Abstract:
A pattern recognition method based on 1-D CNN for third-party interference is proposed and demonstrated. Assisted with fiber optic distributed acoustic sensing (DAS) system, the average recognition with 97.2% for five events and 1. 5ms processing time of a 1-D sample are realized in the field test, and the traffic flow information is achieved basically.
Date of Conference: 15-18 October 2021
Date Added to IEEE Xplore: 09 February 2022
ISBN Information:
Contents 