Results 121 to 130 of about 10,541,846 (196)

Remaining useful life prediction across different operational conditions based on domain adaptation feature transfer. [PDF]

Sci Rep
Jiang Z, Wei Y, Li X.
europepmc   +1 more source

Accurate remaining useful life prediction and uncertainty quantification for wind turbines using temporal convolutional variational deep Gaussian processes. [PDF]

Sci Rep
Cui S, Liu X, Wu G, Qiao W, Liu J, Chen X.   +5 more
europepmc   +1 more source

Turbofan Engine Remaining Useful Life Prediction with Reliable Prediction Intervals via LSTM-Based Quantile Regression and Conformal Calibration. [PDF]

Sensors (Basel)
Diao R, Zhou M, Meng G, Wang S.
europepmc   +1 more source

Enhancing Remaining Useful Life (RUL) Prediction through CNN-Based Fusion Architectures

Predictive Maintenance (PdM) enables proactive detection of equipment degradation and reduction of downtime and operation costs. Remaining Useful Life (RUL) estimation is central to PdM using sensor-derived time-series data to predict the time until an equipment fails.
openaire   +1 more source

A Metric-Driven Evaluation Framework for Remaining Useful Life Prognosis with Quantified Uncertainty. [PDF]

Sensors (Basel)
Vashishtha G, Chauhan S, Ertarğın M.
europepmc   +1 more source

Remaining Life Prediction of Shielding Sleeves Based on Data Augmentation and Hybrid Models. [PDF]

Sensors (Basel)
Zhang X, Xiang X, Li H, Liu N, Chen Z.
europepmc   +1 more source

Trans-D3: A Novel Hybrid Transformer-Based Actor-Critic Approach for Remaining Useful Life Prediction. [PDF]

Sensors (Basel)
Paredes J, Chavez D, Isa-Jara R, Vargas D.   +3 more
europepmc   +1 more source

Risk-sensitive joint inventory-maintenance strategy for bearing health management under prognostic uncertainty: an uncertainty-aware deep reinforcement learning approach. [PDF]

Sci Rep
Zhang Z, Shen N, Wang X.
europepmc   +1 more source

Advanced Remaining Useful Life (RUL) Predictions in Aircraft Maintenance Using Deep Learning

International Journal of Electronics and Communication Engineering
openaire   +1 more source

Data-Driven Health Prognostics of NMC Lithium-Ion Batteries via Impedance Spectroscopy Using a Hybrid CNN-BiLSTM Model. [PDF]

Sensors (Basel)
Liu Z, Fu K, Liao J, Stimming U, Guo D, Zhang Y.   +5 more
europepmc   +1 more source