scholarly journals Multifrequency TR-MUSIC Processing to Locate Soft Faults in Cables Subject to Noise

2020 ◽  
Vol 69 (2) ◽  
pp. 411-418 ◽  
Author(s):  
Moussa Kafal ◽  
Andrea Cozza
Keyword(s):  
Soft Faults

Online Detection and Location of Soft Faults in Wired-Power Networks

2018 ◽  
Author(s):  
Mostafa Rizk ◽  
Hassan Semaan ◽  
Hanine El Cheikh-Ibrahim ◽  
Ziad Noun ◽  
Zouhair El Bazzal
Keyword(s):  
Online Detection ◽  
Power Networks ◽  
Soft Faults

scholarly journals A Robust Technique to Make a 2D Advection Solver Tolerant to Soft Faults

2016 ◽  
Vol 80 ◽  
pp. 1917-1926 ◽  
Author(s):  
Peter Strazdins ◽  
Brendan Harding ◽  
Chung Lee ◽  
Jackson R. Mayo ◽  
Jaideep Ray ◽  
...  
Keyword(s):  
Soft Faults

A Dynamic Vector-Formed Information Sharing Algorithm Based on Two-State Chi Square Detection in an Adaptive Federated Filter

2018 ◽  
Vol 72 (1) ◽  
pp. 101-120 ◽  
Author(s):  
Jianxin Xu ◽  
Zhi Xiong ◽  
Jianye Liu ◽  
Rong Wang
Keyword(s):  
Information Sharing ◽  
Navigation System ◽  
Detection Algorithm ◽  
Distribution Coefficients ◽  
Fault Isolation ◽  
Integrated Navigation ◽  
Chi Square ◽  
Integrated Navigation System ◽  
Filter Architecture ◽  
Soft Faults

The accuracy and fault tolerance of filters are directly affected by the filter architecture and algorithm, thus influencing navigation performance. The chi square detection used in the conventional reset federated filter is not sensitive to soft faults, and it is easy to cause the health subsystem to be polluted through information sharing. It is a challenge to design an adaptive reset federated filter to improve the performance of the navigation system. Therefore, taking the Strapdown Inertial Navigation System/Global Positioning System/Celestial Navigation System/Synthetic Aperture Radar (SINS/GPS/CNS/SAR) integrated navigation system as an example, an adaptive federated filter architecture for vector-formed information sharing without a fault isolation module is designed in this paper. The proposed method uses the two-state chi square detection algorithm to calculate the parameters corresponding to each state, making the state with higher accuracy obtain a greater information distribution coefficient. In addition, according to the value of vector-formed information sharing, an adaptive coefficient of measurement noise is designed. This improves the adaptability of the navigation system to soft faults. Simulation results show that the accuracy of the proposed algorithm has the same performance compared with the conventional method under normal circumstances. When the sensor has a soft fault, the adaptive federated filter algorithm proposed in this paper can adaptively adjust the distribution coefficients, eliminate the influence of the fault information and improve the precision of the navigation system. The approach described in this paper can be used in multi-sensor integrated navigation. It will have better performance in engineering applications.

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