Results 121 to 130 of about 5,098 (198)

Interpretable ensemble remaining useful life prediction enables dynamic maintenance scheduling for aircraft engines. [PDF]

Sci Rep
Özcan H.
europepmc   +1 more source

Comparison of deep learning models for predictive maintenance in industrial manufacturing systems using sensor data. [PDF]

Sci Rep
Li W, Li T.
europepmc   +1 more source

An Innovative Study for Tool Wear Prediction Based on Stacked Sparse Autoencoder and Ensemble Learning Strategy. [PDF]

Sensors (Basel)
He Z, Shi T, Chen X.
europepmc   +1 more source

Real-Time Rail Electrification Systems Monitoring: A Review of Technologies. [PDF]

Sensors (Basel)
Sainz-Aja JA, Pombo J, Brant J, Antunes P, Rebelo JM, Santos J, Ferreño D.   +6 more
europepmc   +1 more source

Remaining Useful Life Prediction Across Conditions Based on a Health Indicator-Weighted Subdomain Alignment Network. [PDF]

Sensors (Basel)
Xu Z, Chow CWK, Rahman MM, Rameezdeen R, Law YW.   +4 more
europepmc   +1 more source

The Prediction of the Remaining Useful Life of Rotating Machinery Based on an Adaptive Maximum Second-Order Cyclostationarity Blind Deconvolution and a Convolutional LSTM Autoencoder. [PDF]

Sensors (Basel)
Gao Y, Ahmad Z, Kim JM.
europepmc   +1 more source

An Adaptive Framework for Remaining Useful Life Prediction Integrating Attention Mechanism and Deep Reinforcement Learning. [PDF]

Sensors (Basel)
Bai Y, Du J, Li H, Bao X, Li L, Zhang C, Yan J, Wang R, Xu Y.   +8 more
europepmc   +1 more source

Enhanced Mamba model with multi-head attention mechanism and learnable scaling parameters for remaining useful life prediction. [PDF]

Sci Rep
Liu F, Liu S, Chai Y, Zhu Y.
europepmc   +1 more source