Sequential Fault-Tolerant Fusion Estimation for Multisensor Time-Varying Systems
Joint Authors
Wu, Lan
Feng, Xiaoliang
Wen, Chenglin
Source
Discrete Dynamics in Nature and Society
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-11-06
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
In this paper, the impact of the fusion framework on the fault diagnosis process is discussed.
The centralized fusion framework makes it difficult to locate and estimate the sensor fault.
Based on the fault detection method, the sequential fusion framework could locate and estimate the sensor fault and realize the fault-tolerant estimation of system states.
In the sense of minimum mean square error (MMSE), based on the sequential detection of bias fault of sensors, a sequential fault-tolerant fusion estimation approach is presented to estimate the sensor fault and the system state, simultaneously, optimally, in real time.
Further, a novel alternate fault-tolerant fusion estimation method is proposed to alternately estimate the sensor fault and the system state, in the frame of sequential fusion.
What is more, the equivalency of the two proposed methods is proved.
And the feasibility and equivalency of them are also verified by the computer simulation.
American Psychological Association (APA)
Feng, Xiaoliang& Wu, Lan& Wen, Chenglin. 2018. Sequential Fault-Tolerant Fusion Estimation for Multisensor Time-Varying Systems. Discrete Dynamics in Nature and Society،Vol. 2018, no. 2018, pp.1-9.
https://search.emarefa.net/detail/BIM-1152591
Modern Language Association (MLA)
Feng, Xiaoliang…[et al.]. Sequential Fault-Tolerant Fusion Estimation for Multisensor Time-Varying Systems. Discrete Dynamics in Nature and Society No. 2018 (2018), pp.1-9.
https://search.emarefa.net/detail/BIM-1152591
American Medical Association (AMA)
Feng, Xiaoliang& Wu, Lan& Wen, Chenglin. Sequential Fault-Tolerant Fusion Estimation for Multisensor Time-Varying Systems. Discrete Dynamics in Nature and Society. 2018. Vol. 2018, no. 2018, pp.1-9.
https://search.emarefa.net/detail/BIM-1152591
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1152591