Kurtosis forecasting of bearing vibration signal based on the hybrid model of empirical mode decomposition and RVM with artificial bee colony algorithm
作者：
Highlights：
• EMD-ABCRVM is presented for kurtosis forecasting of bearing vibration signal.
• Establish IMFs’ prediction models by RVM with each appropriate embedding dimension.
• Select the appropriate kernel parameters of IMFs’ RVM models by artificial bee colony algorithm.
摘要
•EMD-ABCRVM is presented for kurtosis forecasting of bearing vibration signal.•Establish IMFs’ prediction models by RVM with each appropriate embedding dimension.•Select the appropriate kernel parameters of IMFs’ RVM models by artificial bee colony algorithm.
论文关键词：Kurtosis prediction of bearing vibration signal,Empirical mode decomposition,Embedding dimension,Artificial bee colony algorithm
论文评审过程：Available online 29 November 2014.
论文官网地址：https://doi.org/10.1016/j.eswa.2014.11.047
