A Modified Model of Failure Mode and Effects Analysis Based on Generalized Evidence Theory

Joint Authors

Zhou, Deyun
Jiang, Wen
Tang, Yongchuan

Source

Mathematical Problems in Engineering

Issue

Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-11, 11 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2016-08-17

Country of Publication

Egypt

No. of Pages

11

Main Subjects

Civil Engineering

Abstract EN

Due to the incomplete knowledge, how to handle the uncertain risk factors in failure mode and effects analysis (FMEA) is still an open issue.

This paper proposes a new generalized evidential FMEA (GEFMEA) model to handle the uncertain risk factor, which may not be included in the conventional FMEA model.

In GEFMEA, not only the conventional risk factors, the occurrence, severity, and detectability of the failure mode, but also the other incomplete risk factors are taken into consideration.

In addition, the relative importance among all these risk factors is well addressed in the proposed method.

GEFMEA is based on the generalized evidence theory, which is efficient in handling incomplete information in the open world.

The efficiency and some merit of the proposed method are verified by the numerical example and a real case study on aircraft turbine rotor blades.

American Psychological Association (APA)

Zhou, Deyun& Tang, Yongchuan& Jiang, Wen. 2016. A Modified Model of Failure Mode and Effects Analysis Based on Generalized Evidence Theory. Mathematical Problems in Engineering،Vol. 2016, no. 2016, pp.1-11.
https://search.emarefa.net/detail/BIM-1112194

Modern Language Association (MLA)

Zhou, Deyun…[et al.]. A Modified Model of Failure Mode and Effects Analysis Based on Generalized Evidence Theory. Mathematical Problems in Engineering No. 2016 (2016), pp.1-11.
https://search.emarefa.net/detail/BIM-1112194

American Medical Association (AMA)

Zhou, Deyun& Tang, Yongchuan& Jiang, Wen. A Modified Model of Failure Mode and Effects Analysis Based on Generalized Evidence Theory. Mathematical Problems in Engineering. 2016. Vol. 2016, no. 2016, pp.1-11.
https://search.emarefa.net/detail/BIM-1112194

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1112194