The feasibility parameters quantification FMECA algorithm based on fuzzy theory

DOI

10.2991/icitmi-15.2015.182How to use a DOI?

Keywords

FMECA; The fuzzy theory; RPN; The feasibility of parameters; UAV

Abstract

According to the optimization problem in a variety of corrective and improvement actions that exist in the FMECA method, this paper introduces the fuzzy theory of FMECA analysis, study quantitative method of the degree of severity S , occurrence probability O and detestability D of RPN algorithm, and introduce the concept of feasible parameter, based on the RPN values change before and after the implementation of corrective actions and feasibility of the ratio of the corrective measures to select parameters, enhance the accuracy of FMECA analysis, taking UAV as the research object, which improved the effect of FMECA method in the application of the UAV.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Yanmei Lv
AU  - Hongtao Zhen
AU  - Dong Zhang
PY  - 2015/10
DA  - 2015/10
TI  - The feasibility parameters quantification FMECA algorithm based on fuzzy theory
BT  - Proceedings of the 4th International Conference on Information Technology and Management Innovation
PB  - Atlantis Press
SP  - 1082
EP  - 1087
SN  - 2352-538X
UR  - https://doi.org/10.2991/icitmi-15.2015.182
DO  - 10.2991/icitmi-15.2015.182
ID  - Lv2015/10
ER  -