Results 141 to 150 of about 9,187,359 (195)

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

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

From Signals to Remaining Useful Life: Multimodal Sensor Fusion for Fault Diagnosis and Prognostics-Methods, Pitfalls, and Reporting Standards. [PDF]

Sensors (Basel)
Pană CF, Maican CA, Vrăjitoru NR, Pătrașcu-Pană DM, Rădulescu VM.   +4 more
europepmc   +1 more source

Optimizing charge discharge cycles using QPPONet-enabled hybrid learning framework for energy management and safety in electric vehicles. [PDF]

Sci Rep
Sujan Kumar MV, Khekare G.
europepmc   +1 more source

Early Remaining Useful Life Prediction of Lithium-Ion Batteries Based on a Hybrid Machine Learning Method with Time Series Augmentation. [PDF]

Sensors (Basel)
Zhang J, Huang J, Zhang T, He E, Wang S, Yao L.   +5 more
europepmc   +1 more source

Survival Models for Predictive Maintenance and Remaining Useful Life in Sensor-Enabled Smart Energy Networks: A Review. [PDF]

Sensors (Basel)
Shadi MR, Mirshekali H, Tahavori M, Shaker HR.   +3 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]

Sci Rep
Liu L, Gan Y, Deng Z, Cheng P.
europepmc   +1 more source

Learning faults in time: sequential behavioural modelling for complex fault detection in multi-robot systems. [PDF]

Front Robot AI
Mazloum FF, Portugal D, Couceiro MS.
europepmc   +1 more source

Logistics equipment condition monitoring and prediction based on digital twin and machine learning. [PDF]

Sci Rep
Han F, Liu L, Sun J.
europepmc   +1 more source

Enhanced remaining useful life prediction of lithium-ion battery based on a dual attention hybrid data-driven method. [PDF]

Sci Rep
Shi Z, Ibrahim AW, Xu J, Zeng L, Farh HMH, Al-Shamma'a AA, Ameur K.   +6 more
europepmc   +1 more source

Data-Driven Remaining Useful Life Prediction for Pt-Rh Thermocouples Using an Extended Kalman Filter. [PDF]

Sensors (Basel)
Li N, Dai S, Liu Y, Zhu Y, Li J, Huang X.   +5 more
europepmc   +1 more source