Results 121 to 130 of about 26,953 (213)
Remaining Useful Life Prediction Method Enhanced by Data Augmentation and Similarity Fusion
Precise prediction of the remaining useful life (RUL) of rolling bearings is crucial for ensuring the smooth functioning of machinery and minimizing maintenance costs. The time-domain features can reflect the degenerative state of the bearings and reduce
Huaqing Wang +5 more
doaj +1 more source
International audienceOne remaining technological bottleneck to develop industrial Fuel Cell (FC) applications resides in the system limited useful lifetime.
Gouriveau, Rafael +4 more
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An efficient remaining useful life(RUL)can provide key information for manager to make preventive maintenance strategy and prevent equipment unexpected downtime.Aim to nonlinear state process of equipment and real-time demand of life prediction in ...
林国语, 贾云献, 孙磊
doaj
Prediction of Remaining Useful Life (RUL) of Lithium ion (Li-ion) Batteries
In recent time Li-ion battery gained popularity because of their high charge density, portability and longer life span. It compliments the human quest for green energy. As many of the green energy applications like Electrical Vehicle, Wind Energy and Solar Energy use Li-ion battery as their energy storage device.
openaire +1 more source
In the field of production scheduling, this paper addresses the problem of optimizing the useful life of a heterogeneous distributed platform composed of identical parallel machines and which has to provide a given production service.
HERR, Nathalie +2 more
core +1 more source
A Novel Multimodal RUL Framework for Remaining Useful Life Estimation with Layer-wise Explanations
Estimating the Remaining Useful Life (RUL) of mechanical systems is pivotal in Prognostics and Health Management (PHM). Rolling-element bearings are among the most frequent causes of machinery failure, highlighting the need for robust RUL estimation methods.
Razzaq, Waleed, Zhao, Yun-Bo
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Prognostic and Health Management (PHM) are crucial ways to avoid unnecessary maintenance for Cyber-Physical Systems (CPS) and improve system reliability. Predicting the Remaining Useful Life (RUL) is one of the most challenging tasks for PHM. Existing methods require prior knowledge about the system, contrived assumptions, or temporal mining to model ...
Zekai Zhang +6 more
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Remaining Useful Life (RUL) Prognosis of Composite materials
Report showing the approaches for Remaining Useful Life RUL Prognosis of Composite ...
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A deep learning framework for remaining useful life prediction of turbofan engines with partial sensor failure. [PDF]
Tang D.
europepmc +1 more source
Turbofan Engine Remaining Useful Life Prediction with Reliable Prediction Intervals via LSTM-Based Quantile Regression and Conformal Calibration. [PDF]
Diao R, Zhou M, Meng G, Wang S.
europepmc +1 more source

