<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>To solve the difficulties in practice caused by the subjectivity, relativity and evidence combination focus element explosion during the process of solving the uncertain problems of fault diagnosis with evidence theory, this paper proposes a fault diagnosis inference strategy by integrating rough sets with evidence theory along with the theories of information fusion and mete-synthesis. By using rough sets, redundancy of characteristic data is removed and the unrelated essential characteristics are extracted, the objective way of basic probability assignment is proposed, and an evidence synthetic method is put forward to solve high conflict evidence. The method put forward in this paper can improve the accuracy rate of fault diagnosis with the redundant and complementary information of various faults by synthesizing all evidences with the rule of the composition of evidence theory. Besides, this paper proves the feasibility and validity of experiments and the efficiency in improving fault diagnosis.</p>
</abstract>

To solve the difficulties in practice caused by the subjectivity, relativity and evidence combination focus element explosion during the process of solving the uncertain problems of fault diagnosis with evidence theory, this paper proposes a fault diagnosis inference strategy by integrating rough sets with evidence theory along with the theories of information fusion and mete-synthesis. By using rough sets, redundancy of characteristic data is removed and the unrelated essential characteristics are extracted, the objective way of basic probability assignment is proposed, and an evidence synthetic method is put forward to solve high conflict evidence. The method put forward in this paper can improve the accuracy rate of fault diagnosis with the redundant and complementary information of various faults by synthesizing all evidences with the rule of the composition of evidence theory. Besides, this paper proves the feasibility and validity of experiments and the efficiency in improving fault diagnosis.

The Comprehensive Diagnostic Method Combining Rough Sets and Evidence Theory

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

{"article-title":"The Comprehensive Diagnostic Method Combining Rough Sets and Evidence Theory"}

To solve the difficulties in practice caused by the subjectivity, relativity and evidence combination focus element explosion during the process of solving the...

The Comprehensive Diagnostic Method Combining Rough Sets and Evidence Theory

Publié en ligne: 25 mai 2021

Pages: 171 - 180

Reçu: 14 janv. 2021

Accepté: 26 févr. 2021

DOI: https://doi.org/10.2478/amns.2021.2.00006

Mots clés
fault diagnosis, information fusion, rough sets, D-S evidence theory

© 2021 Guang Yang et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

The Comprehensive Diagnostic Method Combining Rough Sets and Evidence Theory

Publié en ligne: 25 mai 2021

Pages: 171 - 180

Reçu: 14 janv. 2021

Accepté: 26 févr. 2021

DOI: https://doi.org/10.2478/amns.2021.2.00006

Mots clésfault diagnosis, information fusion, rough sets, D-S evidence theory

© 2021 Guang Yang et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Mots clés
fault diagnosis, information fusion, rough sets, D-S evidence theory