A model for remaining useful life prediction of rolling bearings based on the IBA-FELM algorithm
Jianyu Zhang,
Yang Dai,
Yong Xiao
Abstract:Rolling bearings are essential supporting components for most rotating machinery and are commonly placed at great risk of sudden failure. Accurate prediction of the remaining service life of rolling bearings is essential for ensuring reliable operation and establishing an effective maintenance strategy. Focusing on the extreme learning machine (ELM) methodology, an innovative predictive model with error feedback neuron integration is established to eliminate the deficiency in model generalization capability. T… Show more
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