TY - GEN
T1 - Multi-sensor Fusion Approach with Fault Detection and Isolation Based on two-state Probability Ratio
AU - Qiang, Xingzi
AU - Xue, Rui
AU - Zhu, Yanbo
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021/3/25
Y1 - 2021/3/25
N2 - Aiming at the problem of fault detection in the process of multi-sensor data fusion, a two-state probability ratio fault detection and isolation method is proposed in this paper, which can realize the independent detection of single sensor fault. Firstly, the state space of the current state under a certain confidence condition is selected according to the process equation, and then the probability of occurrence of the likelihood distribution of each sensor in this space is calculated, which is regarded as a test statistic. The threshold of the test statistics is designed according to the false alarm probability requirement of the system. The data fusion will be performed after isolating the sensor, when the test statistic is less than the threshold. The simulation shows that this method can detect the faults of each sensor independently in a multi-sensor system.
AB - Aiming at the problem of fault detection in the process of multi-sensor data fusion, a two-state probability ratio fault detection and isolation method is proposed in this paper, which can realize the independent detection of single sensor fault. Firstly, the state space of the current state under a certain confidence condition is selected according to the process equation, and then the probability of occurrence of the likelihood distribution of each sensor in this space is calculated, which is regarded as a test statistic. The threshold of the test statistics is designed according to the false alarm probability requirement of the system. The data fusion will be performed after isolating the sensor, when the test statistic is less than the threshold. The simulation shows that this method can detect the faults of each sensor independently in a multi-sensor system.
KW - fault detection
KW - fault isolation
KW - nonlinear filter
KW - two-state probability ratio
UR - https://www.scopus.com/pages/publications/85106478832
U2 - 10.1109/WiSPNET51692.2021.9419448
DO - 10.1109/WiSPNET51692.2021.9419448
M3 - 会议稿件
AN - SCOPUS:85106478832
T3 - 2021 International Conference on Wireless Communications, Signal Processing and Networking, WiSPNET 2021
SP - 325
EP - 329
BT - 2021 International Conference on Wireless Communications, Signal Processing and Networking, WiSPNET 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 6th International Conference on Wireless Communications, Signal Processing and Networking, WiSPNET 2021
Y2 - 25 March 2021 through 27 March 2021
ER -