Results 41 to 50 of about 26,721 (240)

Stochastic RUL calculation enhanced with TDNN-based IGBT failure modeling [PDF]

, 2016
Power electronics are widely used in the transport and energy sectors. Hence, the reliability of these power electronic components is critical to reducing the maintenance cost of these assets.
Alghassi, Alireza, Perinpanayagam, Suresh, Samie, Mohammad   +2 more
core   +1 more source

Remaining Useful Life Prediction of the Concrete Piston Based on Probability Statistics and Data Driven

Applied Sciences, 2021
This paper proposes a method on predicting the remaining useful life (RUL) of a concrete piston of a concrete pump truck based on probability statistics and data-driven approaches.
Jie Li, Yuejin Tan, Bingfeng Ge, Hua Zhao, Xin Lu   +4 more
doaj   +1 more source

Prognosis of a Wind Turbine Gearbox Bearing Using Supervised Machine Learning [PDF]

, 2019
Deployment of large-scale wind turbines requires sophisticated operation and maintenance strategies to ensure the devices are safe, profitable and cost-effective.
Elasha, Faris, Li, Xiaochuan, Mba, David, Shanbr, Suliman   +3 more
core   +1 more source

Remaining useful life estimation in heterogeneous fleets working under variable operating conditions [PDF]

, 2016
The availability of condition monitoring data for large fleets of similar equipment motivates the development of data-driven prognostic approaches that capitalize on the information contained in such data to estimate equipment Remaining Useful Life (RUL).
Al-Dahidi, Sameer, Baraldi, Piero, Di Maio, Francesco, Zio, Enrico   +3 more
core   +4 more sources

A belief function theory based approach to combining different representation of uncertainty in prognostics [PDF]

, 2015
International audienceIn this work, we consider two prognostic approaches for the prediction of the remaining useful life (RUL) of degrading equipment.
Baraldi, Piero, Mangili, Francesca, Zio, Enrico   +2 more
core   +4 more sources

Life extension of wind turbine drivetrains by means of SCADA data: Case study of generator bearings in an onshore wind farm

Results in Engineering
Accurate predictions for remaining useful life (RUL) of wind turbine drivetrains are crucial in reducing downtime, optimising maintenance strategies, extending operational life and improving costs.
Kelly Tartt, Abbas Mehrad Kazemi-Amiri, Amir R. Nejad, James Carroll, Alasdair McDonald   +4 more
doaj   +1 more source

Long Short-Term Memory Neural Network with Transfer Learning and Ensemble Learning for Remaining Useful Life Prediction

Sensors, 2022
Prediction of remaining useful life (RUL) is greatly significant for improving the safety and reliability of manufacturing equipment. However, in real industry, it is difficult for RUL prediction models trained on a small sample of faults to obtain ...
Lixiong Wang, Hanjie Liu, Zhen Pan, Dian Fan, Ciming Zhou, Zhigang Wang   +5 more
doaj   +1 more source

Remaining Useful Life Estimation Framework for the Main Bearing of Wind Turbines Operating in Real Time

Energies
The prognosis of wind turbine failures in real operating conditions is a significant gap in the academic literature and is essential for achieving viable performance parameters for the operation and maintenance of these machines, especially those located
Januário Leal de Moraes Vieira, Felipe Costa Farias, Alvaro Antonio Villa Ochoa, Frederico Duarte de Menezes, Alexandre Carlos Araújo da Costa, José Ângelo Peixoto da Costa, Gustavo de Novaes Pires Leite, Olga de Castro Vilela, Marrison Gabriel Guedes de Souza, Paula Suemy Arruda Michima   +9 more
doaj   +1 more source

Shapelet-based remaining useful life estimation.

, 2014
International audienceIn the Prognostics and Health Management domain, estimating the remaining useful life (RUL) of critical machinery is a challenging task.
Malinowski, Simon, Morello, Brigitte, Zerhouni, Noureddine   +2 more
core   +3 more sources

Prognosis of the Remaining Useful Life of Bearings in a Wind Turbine Gearbox

Energies, 2016
Predicting the remaining useful life (RUL) of critical subassemblies can provide an advanced maintenance strategy for wind turbines installed in remote regions.
Wei Teng, Xiaolong Zhang, Yibing Liu, Andrew Kusiak, Zhiyong Ma   +4 more
doaj   +1 more source