Fault Feature Extraction of High-Speed Automaton Based on Motion Morphology Decomposition

Abstract:

In order to obtain the characteristic parameters reflecting fault state of high-speed automaton (HSA), the fault feature extraction method based on motion morphology decomposition and wavelet packet transform (WPT) was presented. According to the movement law of the automaton, the vibration signal generated in three bursts of fire was decomposed into three separate signals, then the response signal in each shooting is a separate signal. Then using WPT to respectively extract wavelet packet energy from three separate signals as the fault characteristic parameters of HSA. By the example, the results show that the extracted fault features can well reflect the working conditions of automaton. Thus the proposed method could be used to extract the fault feature of automaton for monitoring the condition and diagnosing the fault of automaton.

• Periodical: Applied Mechanics and Materials (Volumes 347-350)
• Pages: 224-227
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.347-350.224
• Online since: August 2013
• Authors: Ai Yu Wang, Hong Xia Pan, Hui Ling Liu
• Keywords: Feature Extraction, High-Speed Automaton, Motion Morphology Decomposition, Vibration Signal

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