Methods for Fault Diagnosability Analysis of a Class of Affine Nonlinear Systems
Joint Authors
Peng, Xiafu
Lin, Lixiong
Zhong, Xunyu
Liu, Chengrui
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-03-02
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Abstract EN
The fault diagnosability analysis for a given model, before developing a diagnosis algorithm, can be used to answer questions like “can the fault fi be detected by observed states?” and “can it separate fault fi from fault fj by observed states?” If not, we should redesign the sensor placement.
This paper deals with the problem of the evaluation of detectability and separability for the diagnosability analysis of affine nonlinear system.
First, we used differential geometry theory to analyze the nonlinear system and proposed new detectability criterion and separability criterion.
Second, the related matrix between the faults and outputs of the system and the fault separable matrix are designed for quantitative fault diagnosability calculation and fault separability calculation, respectively.
Finally, we illustrate our approach to exemplify how to analyze diagnosability by a certain nonlinear system example, and the experiment results indicate the effectiveness of the fault evaluation methods.
American Psychological Association (APA)
Peng, Xiafu& Lin, Lixiong& Zhong, Xunyu& Liu, Chengrui. 2015. Methods for Fault Diagnosability Analysis of a Class of Affine Nonlinear Systems. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-6.
https://search.emarefa.net/detail/BIM-1073765
Modern Language Association (MLA)
Peng, Xiafu…[et al.]. Methods for Fault Diagnosability Analysis of a Class of Affine Nonlinear Systems. Mathematical Problems in Engineering No. 2015 (2015), pp.1-6.
https://search.emarefa.net/detail/BIM-1073765
American Medical Association (AMA)
Peng, Xiafu& Lin, Lixiong& Zhong, Xunyu& Liu, Chengrui. Methods for Fault Diagnosability Analysis of a Class of Affine Nonlinear Systems. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-6.
https://search.emarefa.net/detail/BIM-1073765
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1073765