Model-based Sensor-Fault Detection and Isolation in Natural-Gas Pipelines for Transient Flow
Author:
Affiliation:
1. Norwegian University of Science and Technology,Dept. Electronic Systems,Trondheim,Norway
2. Warsaw University of Technology,Dept. Gas Engineering,Warsaw,Poland
Funder
Research Council of Norway under Project
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10324456/10324848/10325151.pdf?arnumber=10325151
Reference10 articles.
1. Fusing Unscented Kalman Filter to Detect and Isolate Sensor faults in DC Microgrids with CPLs
2. A particle filter-based framework for real-time state estimation of a non-linear hyperbolic PDE system describing transient flows in CO2 pipelines
3. Adaptive Sensor Fault Detection and Isolation using Unscented Kalman Filter for Vehicle Positioning
4. Sensor-Fault Detection, Isolation and Accommodation for Digital Twins via Modular Data-Driven Architecture
5. Detection and Spatial Identification of Fault for Parabolic Distributed Parameter Systems
Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Model-Based Architecture for Multisensor Fault Detection, Isolation, and Accommodation in Natural-Gas Pipelines;IEEE Sensors Journal;2024-02-01
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