Results 131 to 140 of about 9,526,985 (202)

Remaining Useful Life Prediction for Aircraft Engines using LSTM

This study uses a Long Short-Term Memory (LSTM) network to predict the remaining useful life (RUL) of jet engines from time-series data, crucial for aircraft maintenance and safety.
Mohiuddin, Mohammed Basheer, Peringal, Anees, Hassan, Ahmed   +2 more
core  

Explainable Remaining Useful Life Prediction of Air Circuit Breakers via Physics-Informed Electro-Mechanical Feature Fusion. [PDF]

Sensors (Basel)
Zhou J, Chen W, Chen J, Chen X.
europepmc   +1 more source

A STUDY ON REMAINING USEFUL LIFE(RUL) PREDICTION OF AN AIRCRAFT ENGINE USING MACHINE LEARNING

In this study we are mainly focused on predicting the Remaining useful life (RUL) of a Turbofan aircraft engine and the accuracy of the aircraft engine – Accuracy tells us the Performance of the engine. To ensure flight safety and reduce the cost of maintenance during aircraft engine Performance, a prognostics and health management scheme that ...
S. SOWMYA BHARATHI, Dr.P.VIJAYLAKSHMI, P. GAJALAKSHMI, KRANTHI .E   +3 more
openaire   +1 more source

Industrial LiFePO₄ battery management system dataset for early degradation analysis and remaining useful life prediction. [PDF]

Data Brief
Ulfat MAB, Begum A, Mamun MAA, Azam SNAE, Hassan MM, Mahmud I, Sadi AHMS, Sayeed MS.   +7 more
europepmc   +1 more source

NBE-VLT-PFO: hybrid deep learning transformer architecture for joint estimation of lithium-ion batteries. [PDF]

Front Artif Intell
Tamizharasi G, Rajini GK.
europepmc   +1 more source

Polymer extrusion filter remaining useful life dataset from contamination experiments. [PDF]

Data Brief
Ferreira C, Ko B, Li W, Otto K.
europepmc   +1 more source

A physics-informed multi-modal transformer framework for predictive maintenance and remaining useful life estimation of electrical submersible pumps. [PDF]

Sci Rep
Khalili Y, Ahmadi M, Moraveji MK.
europepmc   +1 more source

Attention-Based Quantile Regression for RUL Uncertainty Prediction. [PDF]

Sensors (Basel)
Huang L, Hu X, Gong L, Liu Y, Yang S.
europepmc   +1 more source

Enabling generalizable RUL prediction for equipment: a dual-dimensional continual learning approach based on deep Gaussian process. [PDF]

Sci Rep
Xiuli L, Zifu C, Guoxin W, Shuo C.
europepmc   +1 more source

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.
europepmc   +1 more source