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

Civil Engineering

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