A Study of Gearbox Residual Life Prediction Method Based on Stochastic Filtering and Recursive Expectation Maximization Model

Xin Liu; Yun Xian Jia; Jie Zhou

doi:10.4028/www.scientific.net/AMR.1030-1032.1133

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 1030-1032A Study of Gearbox Residual Life Prediction Method...

A Study of Gearbox Residual Life Prediction Method Based on Stochastic Filtering and Recursive Expectation Maximization Model

Abstract:

Residual life prediction is a critical and difficult problem in condition-based maintenance decision-making. Aiming to deal with the problems that practical data is limited and the estimation of initial parameters is not accurate in maintenance practice, a residual life prediction method for gearbox based on stochastic filtering (SF) is proposed. In this method, recursive expectation maximization (REM) algorithm is introduced to update the parameters, and a maximum likelihood estimation method is designed to update the unknown parameters. Finally, the validity and practicability of the model are validated by an example.

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Periodical:

Advanced Materials Research (Volumes 1030-1032)

Pages:

1133-1137

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.1030-1032.1133

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Online since:

September 2014

Authors:

Xin Liu*, Yun Xian Jia, Jie Zhou

Keywords:

Parameter Estimation, REM, Residual Life Prediction, Stochastic Filtering

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