A physics-informed multi-modal transformer framework for predictive maintenance and remaining useful life estimation of electrical submersible pumps. [PDF]
Sci RepKhalili Y, Ahmadi M, Moraveji MK.
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A Fractional-Derivative Multi-Kernel Adaptive Learning Approach for Remaining Useful Life Prediction of Rotating Machinery. [PDF]
Sensors (Basel)Pan L, Xu J, Peng L, Bi D, Xie Y.
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Circular-economy residual-value assessment of retired lithium-ion batteries via degradation prediction and game-theoretic subsidies. [PDF]
iScienceLan G, Chen Y, Yao D, Wang J.
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Gas-generator merupakan salah satu komponen penting dalam sistem pembangkitan energi yang memerlukan pemeliharaan berkala agar tetap beroperasi secara optimal.
Muhammad, Rifan Ikhlasus Ammal
core
Machine learning- assisted remaining useful lifetime prediction of power electronic converters. [PDF]
Sci RepSayed H, Krishnamoorthy HS.
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Uncertainty-Aware Remaining Useful Life Prediction via Synergizing TCN-Transformer Networks and Fractional Brownian Motion. [PDF]
Entropy (Basel)Geng Y, Yu T, Liu Y, Zhao J.
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The aviation industry is rapidly evolving, driven by advancements in technology. Turbofan engines used in commercial aerospace are very complex systems.
Sherifi, Abedin
core
A deep learning framework for remaining useful life prediction of turbofan engines with partial sensor failure. [PDF]
PLoS OneTang D.
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An integrated method for state of charge estimation, lifetime prediction, and reliability assessment of Lithium-ion batteries under thermal and dynamic conditions. [PDF]
PLoS OneMobasheri P, Aranizadeh A, Vahidi B.
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Comparative study of granular computing and RKCCA-based feature fusion for early lithium-ion battery RUL estimation. [PDF]
Sci RepHiroshini K +3 more
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