Fault Prediction Methods Study of Machinery Based on Optimized Background Value MGM(1,m) Model

Zhong Hu Yuan; Feng Guo; Xiao Xuan Qi

doi:10.4028/www.scientific.net/AMM.599-601.1513

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 599-601Fault Prediction Methods Study of Machinery Based...

Fault Prediction Methods Study of Machinery Based on Optimized Background Value MGM(1,m) Model

Abstract:

After analyzing background value error of the traditional MGM(l,m) model, the paper used the functions with non-homogeneous exponential law to fit the accumulated sequences for every variable, and get the optimal formula of background value of MGM(l,m) model, which was used for establishing the model. And the optimization effect is verified by examples. The result shows that the proposed method can significantly improve the prediction accuracy of the traditional MGM(l,m) model, and the effectiveness of the proposed method is shown.

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Periodical:

Applied Mechanics and Materials (Volumes 599-601)

Pages:

1513-1516

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.599-601.1513

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Online since:

August 2014

Authors:

Zhong Hu Yuan*, Feng Guo, Xiao Xuan Qi

Keywords:

Background Value, Machinery Fault Prediction, MGM (1,m) Model, Optimization

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* - Corresponding Author

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