Performance degradation trend prediction of rolling bearings based on SPA-FIG and optimized ELM

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Journal of Vibration and Shock ›› 2020, Vol. 39 ›› Issue (19) : 187-194.

CHEN Qiangqiang1,2, DAI Shaowu1, DAI Hongde3, ZHU Min1, SUN Yuyu4

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Abstract

In order to improve prediction accuracy of rolling bearing performance degradation index, and obtain an accurate prediction range of performance degradation index, a novel performance degradation trend prediction method based on smooth prior analysis (SPA)-fuzzy information granulation (FID) and optimized extreme learning machine (ELM) was proposed.Firstly, SPA was used to extract the trend term and fluctuation term of bearing performance degradation index sequences, and FIG was used to do fuzzy information granulation for the fluctuation term.Then, the trend term and the granulated fluctuationtermwere input into ELM to perform regression prediction, and the particle swarm optimization (PSO) was used to optimize ELM parameters. Finally, the excellence of the prediction model was estimated according to the contrastive analysis of the measured values and the predicted ones. Test results showed that the proposed method can effectively track the change trend of bearing performance degradation index and predict the fluctuation range of the index.

Key words

rolling bearing / trend prediction / fuzzy information granulation(FIG) / extremelearning machine (ELM) / smooth prior analysis (SPA)

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CHEN Qiangqiang1,2, DAI Shaowu1, DAI Hongde3, ZHU Min1, SUN Yuyu4. Performance degradation trend prediction of rolling bearings based on SPA-FIG and optimized ELM[J]. Journal of Vibration and Shock, 2020, 39(19): 187-194

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