remaining useful lifetransformersTransformer failures can cause expensive repairs and business interruptions, costing between $1 million to $6 million per failure [1]. Prognostics can be used to predict and avoid these failures. Several failure modes and aging factors were investigated: solid insulation...
剩余使用寿命预测(RemainingUsefulLife,RUL)就基于物理模型、基于数据驱动、基于混合模型这 [1]3种方法一直以来都是RUL预测主流方向,但因为 是其中关键一项。涡扇发动机作为航空飞机最重要 的部分之一,其工作状态对飞机性能、载客人身安现代机械内部结构越来越复杂,很难对其构建准确的 ...
The remaining useful life (RUL) of large rotating machinery has an important significance for prognostic health management (PHM) tasks and safety performance evaluation. In order to predict the remaining useful life of rotating machinery, this paper combines gated recurrent network (GRU) and Transform...
RUL (Remaining Useful Life) examines a system's behavior over the course of its lifetime, that is, from the last inspection to when the system's performance deteriorates beyond a certain point. RUL has been addressed using Long-Short-Term Memory (LSTM) and Convolution Neural Network (CNN),...
准确预测电池的剩余寿命 (Remaining Useful Life, RUL) 对于安全运行和维护至关重要。近年来，深度学习技术在电池 RUL 预测领域展现出巨大潜力，其中 Transformer 和 LSTM 网络备受关注。本文提出了一种基于 Transformer-LSTM 的锂电池 RUL 预测方法，该方法利用 Transformer 的长距离依赖性建模能力和 LSTM 的时序数据...
关键词:深度学习, 剩余使用寿命, 航空发动机, Transformer Prediction of remaining useful life of aeroengines based on the Transformer with multi-feature fusion Yilin MA, Huiling TAO, Qiwen DONG, Ye WANG School of Data Science ...
Aero-engines are core equipment in aerospace field, and their remaining useful life (RUL) prediction is a critical aspect in spacecraft monitoring and maintenance. Transformer model demonstrates remarkable performance in this domain, but its construction heavily relies on a sizeable number of parameters...
针对轴承剩余寿命预测(Remaining Useful Life,RUL)中存在的特征提取难,预测算法记忆衰退等具体问题,本文开展了基于LSTM改进模型和Transformer改进模型的轴承剩余寿命预测方法研究,主要内容如下:1,构建了基于LSTM-SA的滚动轴承退化状态评估及剩余寿命预测模型.大多数传统的特征提取方法并不能有效提取能准确反映轴承衰退过程的退...
is superior to the existing model in the single engine operating state data set, which verifies the progressiveness of the model.Key words: aviation engine; residual life prediction; gate control loop unit 作者简介：吴直遥（1997-），男，四川成都人，硕士研究生，研究方向为预测航空发动机寿命。
Overloadmanagement–uprating–transformerusefullife–hybridinsulation–maintenance –modernisation–economics–contingencyload Abstract Changesinthewayutilitiesmanagetheirtransmissionanddistributionassets,aswell asincreasesinpeakloaddemand,hasledtotheneedtosubjectmoreandmoresubstation ...