Results 101 to 110 of about 10,541,846 (196)

Remaining Useful Life Prediction Using Attention-LSTM Neural Network of Aircraft Engines

International Journal of Prognostics and Health Management
Accurate prediction of the Remaining Useful Life (RUL) is essential for the effective implementation of Prognostics and Health Management (PHM) in aerospace, particularly in enhancing aero-engine reliability and forecasting potential failures to reduce ...
Marouane Dida, Abdelhakim Cheriet, Mourad Belhadj   +2 more
doaj   +1 more source

Remaining Useful Life Prediction of Rolling Bearings Based on Recurrent Neural Network

, 2019
In order to acquire the degradation state of rolling bearings and achieve predictive maintenance, this paper proposed a novel Remaining Useful Life (RUL) prediction of rolling bearings based on Long Short Term Memory (LSTM) neural net-work. The method is
Jing Li, Qiang Cheng, Wei Ren, Yimeng Zhai, Aidong Deng   +4 more
core   +1 more source

A NEW PREDICTION METHOD FOR RUL PREDICTION OF CRUSHER ROLL IN NON STATIONARY PARTIALLY OBSERVED STATE

Jixie qiangdu, 2018
Accurate prediction of the remaining useful life（RUL） of the roller with double toothed roll crusher is an important basis for maintenance personnel to make scientific maintenance decision.
WU JianJun, LIU HaiPing, YE Xiang
doaj  

A Data-Driven Neural Network Approach for Remaining Useful Life Prediction

, 2010
This paper proposed a neural network (NN) based remaining useful life (RUL) prediction approach. A new performance degradation index is designed using multi-feature fusion techniques to represent deterioration severities of facilities.
De Bin Zhao, Chao Zhong Guo, Ji Hong Yan, Xing Wang   +3 more
core   +1 more source

Turbofan Engine Remaining Useful Life (RUL) Prediction Based on Bi-Directional Long Short-Term Memory (BLSTM)

The aviation industry is rapidly evolving, driven by advancements in technology. Turbofan engines used in commercial aerospace are very complex systems.
Sherifi, Abedin
core  

A cross-domain deep learning framework for remaining useful life prediction in industrial applications. [PDF]

PLoS One
Saha S, Pervaiz MA, Rahman MS, Hasan R, Rahman A.   +4 more
europepmc   +1 more source

Deep learning-based RUL and SOH prediction of lithium-ion batteries using LOCO. [PDF]

Sci Rep
Ali B, Matloob I, Alkhalifa N, Alkhalifa AK, Asim N, Kanwal S, Inam S.   +6 more
europepmc   +1 more source

An integrated Gaussian-Probabilistic-Fuzzy framework for health assessment and remaining useful life prediction of medium-voltage switchgears. [PDF]

PLoS One
Aranizadeh A, Vahidi B, Khorsandi A.
europepmc   +1 more source

Attention-Based Quantile Regression for RUL Uncertainty Prediction. [PDF]

Sensors (Basel)
Huang L, Hu X, Gong L, Liu Y, Yang S.
europepmc   +1 more source

A Fractional-Derivative Multi-Kernel Adaptive Learning Approach for Remaining Useful Life Prediction of Rotating Machinery. [PDF]

Sensors (Basel)
Pan L, Xu J, Peng L, Bi D, Xie Y.
europepmc   +1 more source