Results 31 to 40 of about 26,953 (213)

Predictive Maintenance on the Machining Process and Machine Tool [PDF]

, 2019
This paper presents the process required to implement a data driven Predictive Maintenance (PdM) not only in the machine decision making, but also in data acquisition and processing.
Box, Breiman, Djeziri, Extrapolation, Farokhzad, Galar, Guyon, Jin, Maronna, Mills, Mobley, Tsymbal, Tyagi, Winkler   +13 more
core   +2 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

A Lightweight Transformer Edge Intelligence Model for RUL Prediction Classification

Sensors
Remaining Useful Life (RUL) prediction is a crucial task in predictive maintenance. Currently, gated recurrent networks, hybrid models, and attention-enhanced models used for predictive maintenance face the challenge of balancing prediction accuracy and ...
Lilu Wang, Yongqi Li, Haiyuan Liu, Taihui Liu   +3 more
doaj   +1 more source

A fuzzy expectation maximization based method for estimating the parameters of a multi-state degradation model from imprecise maintenance outcomes [PDF]

, 2017
Multi-State (MS) reliability models are used in practice to describe the evolution of degradation in industrial components and systems. To estimate the MS model parameters, we propose a method based on the Fuzzy Expectation-Maximization (FEM) algorithm ...
Cannarile, F., Compare, M., Rossi, Ester, Zio, E.   +3 more
core   +3 more sources

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

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

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

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

Remaining useful life prognosis of turbofan engines based on deep feature extraction and fusion

Scientific Reports, 2022
In turbofan engine datasets, to address problems, such as noise interference, diverse data types, large data volumes, complex feature extraction, inability to effectively describe degradation trends, and poor remaining useful life (RUL) prognosis effects,
Cheng Peng, Yufeng Chen, Weihua Gui, Zhaohui Tang, Changyun Li   +4 more
doaj   +1 more source