A Hybrid Model Based on a Dual-Attention Mechanism for the Prediction of Remaining Useful Life of Aircraft Engines. [PDF]
He C, Li Z, Zheng C, Zhang Z, Zhang L.
europepmc +1 more source
Prediction of the remaining useful life of a milling machine using machine learning. [PDF]
Al-Refaie A, Al-Atrash M, Lepkova N.
europepmc +1 more source
A Comprehensive Review of Artificial Intelligence-Based Algorithms for Predicting the Remaining Useful Life of Equipment. [PDF]
Li W +9 more
europepmc +1 more source
Remaining useful life prediction and early warning model for high-speed railway contact system based on error-improved PSO-BiLSTM. [PDF]
Liu L, Gan Y, Deng Z, Cheng P.
europepmc +1 more source
Remaining Useful Life Prediction for Bearings Across Domains via a Subdomain Adaptation Network Driven by Spectral Clustering. [PDF]
Xu Z +4 more
europepmc +1 more source
GPT-based equipment remaining useful life prediction
Peiwen Wang +3 more
openaire +2 more sources
Remaining useful life prediction of lithium-ion batteries via spatial attention TLSTM and dilated CNN with evolutionary optimization. [PDF]
Chen S, Fang X.
europepmc +1 more source
Remaining useful life estimation: review
This paper reviews the recent modelling developments in estimating the remaining useful life (RUL) of industrial systems. The RUL estimation models are categorized into experimental, data driven, physics based and hybrid approaches. The paper reviews some typical approaches and discusses their advantages and disadvantages.
Farzaneh Ahmadzadeh, Jan Lundberg
openaire +2 more sources
Remaining useful life, technical health, and life extension
Life extension has for a long time been an important and highly discussed issue in nuclear and aviation industries, and has recently attracted considerable attention in the subsea oil and gas industry. Decision-making related to life extension is a multidisciplinary problem, but it primarily depends on the remaining useful life.
P Vaidya, M Rausand
openaire +2 more sources
Prognostic modelling options for remaining useful life estimation by industry
Over recent years a significant amount of research has been undertaken to develop prognostic models that can be used to predict the remaining useful life of engineering assets.
Melinda Hodkiewicz
exaly +2 more sources

