关键词: 相似性, 信息融合, 剩余寿命预测, 参数, 故障诊断

Abstract: In view of the problems of difficulty in constructing Degradation Index (DI) of similarity-based method under multiple degradation parameters,a similarity-based information fusion method for Remaining Useful Life (RUL) prediction was proposed.Without constructing degradation index,multiple degradation parameters were selected to predict RUL based on similarity directly,and the machinery's RUL was predicted by fusing RUL information.To improve the fusion accuracy,a spearman-based method was improved to select degradation sensitive parameter and assign weight,and machinery's RUL was weighted fused with RUL information of key parameters.Experiment result identified the effectiveness of the proposed method in predicting machinery's RUL and improving predicted accuracy.

Key words: similarity, information fusion, remaining useful life prediction, parameters, fault diagnosis