The Method for Fault Diagnosis of Electric Actuator for a Type of Self-propelled Rocket Launcher Based on the Fuzzy Clustering

DOI

10.2991/ipemec-15.2015.27How to use a DOI?

Keywords

rocket launcher; fuzzy clustering; faulty diagnosis; fuzzy relation

Abstract

Fuzzy theory is a forceful analytic tool to the faulty diagnosis of complicated system. A fuzzy clustering method is introduced on the basis of original fault diagnosis. The initial sort is acquired by fuzzy equivalent matrix and F-statistic, and the initial iterative matrix for the fuzzy c-means is also acquired. So it gets the most optimize class matrix and the fuzzy clustering center. The practical example shows the result calculated by fuzzy clustering is good agreement with the actual inspections, and the method can be applied to the faulty diagnosis of electric operation system of self-propelled rocket launcher. It can distinguish complicated faults more efficiently and accurately, and it has a good foreground.

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  - Bing Xu
AU  - Hong-li Wang
AU  - Han- Bing Wang
AU  - Fu-Li Liu
PY  - 2015/05
DA  - 2015/05
TI  - The Method for Fault Diagnosis of Electric Actuator for a Type of Self-propelled Rocket Launcher Based on the Fuzzy Clustering
BT  - Proceedings of the 2015 International Power, Electronics and Materials Engineering Conference
PB  - Atlantis Press
SP  - 135
EP  - 139
SN  - 2352-5401
UR  - https://doi.org/10.2991/ipemec-15.2015.27
DO  - 10.2991/ipemec-15.2015.27
ID  - Xu2015/05
ER  -