Automaton Fault Diagnosis Based on Chaos Theory

Hong Xia Pan; Yun Peng Cui

doi:10.4028/www.scientific.net/AMM.427-429.697

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 427-429Automaton Fault Diagnosis Based on Chaos Theory

Automaton Fault Diagnosis Based on Chaos Theory

Abstract:

The work of the automaton fault diagnosis based on experimental measurement has not been researched except the fund project which this paper was come from. First, study the structure characteristics, movement process and several common failure modes of the automaton. Then we combined the automaton movement process analysis and the nonlinear, short-term impact characteristics of the vibration signal, proposed for the first time with a powerful tool for nonlinear problem researchthe chaos theory, to research the fault diagnosis of automaton, and finally realized it. It provided a new way for the fault diagnosis of automatic weapons. That has important theoretical and practical significance for high speed automatic fault diagnosis.

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Periodical:

Applied Mechanics and Materials (Volumes 427-429)

Pages:

697-701

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.427-429.697

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Online since:

September 2013

Authors:

Hong Xia Pan*, Yun Peng Cui

Keywords:

Automaton, Chaos Theory, Fault Diagnosis, Feature Extraction

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