Morphological Diagnosis of High-speed Automaton Malfunction

DOI

10.2991/isrme-15.2015.52How to use a DOI?

Keywords

Fault diagnosis, Multi-scale morphology, Fractal dimension, Cluster analysis, High-speed automata

Abstract

The mathematical morphology was applied to high-speed automaton fault diagnosis in this paper, which a new method was proposed to diagnosis high-speed automaton fault based on mathematical morphology and the combination of fuzzy clustering. Take a high-speed automaton fault data in laboratory tests for example; various types were analyzed for the fault signal. The results demonstrated that the combination of mathematical morphology and fuzzy clustering applied on a high-speed automaton can effectively diagnose faults, providing a new way for high-speed automata fault diagnosis.

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  - Hongxia Pan
AU  - Xin Xu
AU  - Min Hu
PY  - 2015/04
DA  - 2015/04
TI  - Morphological Diagnosis of High-speed Automaton Malfunction
BT  - Proceedings of the 2015 International Conference on Intelligent Systems Research and Mechatronics Engineering
PB  - Atlantis Press
SP  - 224
EP  - 228
SN  - 1951-6851
UR  - https://doi.org/10.2991/isrme-15.2015.52
DO  - 10.2991/isrme-15.2015.52
ID  - Pan2015/04
ER  -