Study on Sensor Network Optimization for MS/AE Monitoring System Using Fisher Information and Improved Encoding Framework-Reference-Cited by-同舟云学术

Study on Sensor Network Optimization for MS/AE Monitoring System Using Fisher Information and Improved Encoding Framework

Published:2024-07-15 Issue:14 Volume:24 Page:22958-22973
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Rui Yichao¹,Zhu Chunjin¹,Chen Jie¹^ORCID,Zhou Zilong²^ORCID,Pu Yuanyuan¹

Affiliation:

1. State Key Laboratory of Coal Mine Disaster Dynamics and Control and the School of Resources and Safety Engineering, Chongqing University, Chongqing, China

2. School of Resources and Safety Engineering, Central South University, Changsha, China

Funder

National Natural Science Foundation of China

Postdoctoral Fellowship Program of China Postdoctoral Science Foundation

China Postdoctoral Science Foundation

National Key Research and Development Program for Young Scientists

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/7361/10599846/10539621.pdf?arnumber=10539621

Reference50 articles.

1. Rock Strata Failure Behavior of Deep Ordovician Limestone Aquifer and Multi-level Control Technology of Water Inrush Based on Microseismic Monitoring and Numerical Methods

2. Improvement of microseismic source location during cavern excavation in faulted rock mass using fast marching method

3. Precursor Information Recognition of Rockburst in the Coal-Rock Mass of Meizoseismal Area Based on Multiplex Microseismic Information Fusion and Its Application: A Case Study of Wudong Coal Mine

4. A high-resolution microseismic source location method based on contrast source algorithm

5. Quantitative damage, fracture mechanism and velocity structure tomography of sandstone under uniaxial load based on acoustic emission monitoring technology

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