关键词: 剩余使用寿命, 预测, 工况, 相似性, 健康指标

Abstract: The paper presents a similarity-based remaining useful life (RUL) estimation method under varying operational conditions. Similarity-based remaining useful life prediction method doesn’t need to build a model for entire complex system but can provide reasonable results, which is promising in engineering practice. However, the operational conditions such as different working loads and environmental conditions are not considered for degradation modeling. Therefore, this method combines basic similarity-based method and the effect from operational conditions to achieve better prediction accuracy. Degradation models with different operational conditions are built by training units, and the RUL estimation is achieved by matching corresponding model using the real-time operational conditions of the running unit. The proposed degradation models describe the degradation process more precisely by taking the differences of operational conditions into account. According to the same accuracy standard, multi-groups numerical experiments are finished by basic similarity-based method and the proposed method. The result shows the proposed method has a higher accuracy in remaining useful life prediction.

Key words: Remaining useful life, Prognostics, Operational condition, Similarity, Health Indicator