关键词: 多退化变量, 灰色生成率序列, 灰色相似关联度, 相似性寿命预测

Abstract: To solve the problem of rare researches on similarity-based residual life estimation with multiple degradation variables,the multi-index modeling method based on grey generation rate sequence was proposed.Grey accumulation generation relational analysis model was hired to transform sample data into grey generation rate;based on grey generation rate of operating sample and reference samples,the similarities between operating sample and reference samples were calculated by grey similarity correlation analysis method,and weight of each degradation variable was computed by group consistency algorithm;the Residual Useful Life (RUL) of operating sample was predicted through the similarity weighted average based on similarities and actual RUL of reference samples.The reasonability and effectiveness of the proposed method were validated through the case analysis of gyroscope residual life prediction.Preliminary case study showed that the multi-index modeling method for similarity-based residual life estimation based on grey generation rate sequence could obtain more accurate RUL prediction results and had a good application prospect.

Key words: multiple degradation variables, grey generation rate sequence, grey similarity correlation, similarity-based residual life prediction