GitHub

RNN-DAS: A New Deep Learning Approach for Detection and Real-Time Monitoring of Volcano-Tectonic Events Using Distributed Acoustic Sensing

RNN-DAS is an innovative Deep Learning model based on Recurrent Neural Networks (RNNs) with Long Short-Term Memory (LSTM) cells, developed for real-time Volcano-seismic Signal Recognition (VSR) using ...
IEEE

A Joint Observer-Based Distributed Fault Detection Method for Traction Systems of High-Speed Trains

Abstract: The past two decades have witnessed the development of fault detection (FD) methods in the field of high-speed trains. This trend is the consequence of the increasing requirement for safe ...
Frontiers

Research on the feasibility of distributed vibration sensing technology for leakage detection in diaphragm wall joint

1 Suzhou Rail Transit Construction Co., Ltd., Suzhou, Jiangsu, China 2 Suzhou NanZee Sensing Technology Co., Ltd., Suzhou, Jiangsu, China The integrity of diaphragm walls is of paramount importance to ...
IEEE

Physics-Enhanced Fault Detection Framework for Nonlinear Distributed Parameter Systems Under Limited Sensor Data

Abstract: Fault detection in distributed parameter systems (DPSs) is crucial for ensuring the reliability and safety of industrial processes. However, DPSs are governed by complex nonlinear partial ...