Intelligent Gear Fault Identification Method Based on Harmonic Wavelet Package Energy Distribution and Grey Incidence

Wen Bin Zhang; Yan Ping Su; Yan Jie Zhou; Ya Song Pu

doi:10.4028/www.scientific.net/AMR.694-697.1155

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 694-697Intelligent Gear Fault Identification Method Based...

Intelligent Gear Fault Identification Method Based on Harmonic Wavelet Package Energy Distribution and Grey Incidence

Abstract:

In this paper, a novel intelligent method to identify gear fault pattern was approached based on morphological filter, harmonic wavelet package and grey incidence. At first, the line structure element was selected for morphological filter to denoise the original signal. Secondly, different gear fault signals were decomposed into eight frequency bands by harmonic wavelet package in three levels; and energy distribution of each band was calculated. Finally, these energy distributions could serve as the feature vectors, the grey incidence of different gear vibration signals was calculated to identify the fault pattern and condition. Practical results show that this method can be used in gear fault diagnosis effectively.

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Periodical:

Advanced Materials Research (Volumes 694-697)

Pages:

1155-1159

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.694-697.1155

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Online since:

May 2013

Authors:

Wen Bin Zhang, Yan Ping Su, Yan Jie Zhou, Ya Song Pu

Keywords:

Energy Distribution, Fault Identification, Gear, Grey Incidence, Harmonic Wavelet Package, Morphological Filter

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References

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