Results 101 to 110 of about 20,775 (227)

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

Using a high fidelity CCGT simulator for building prognostic systems [PDF]

, 2013
Pressure to reduce maintenance costs in power utilities has resulted in growing interest in prognostic monitoring systems. Accurate prediction of the occurrence of faults and failures would result not only in improved system maintenance schedules but ...
Catterson, Victoria, Harrison, Emma, McArthur, Stephen, McGhee, Mark James   +3 more
core  

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  

Integrating Machine Learning-Based Remaining Useful Life Predictions with Cost-Optimal Block Replacement for Industrial Maintenance

International Journal of Prognostics and Health Management
This study presents a preventive maintenance methodology to predict the remaining useful life (RUL) of mechanical systems and determine cost-effective replacement schedules.
Young-Suk Choo, Seung-Jun Shin
doaj   +1 more source

A Two-Stage Attention-Based Hierarchical Transformer for Turbofan Engine Remaining Useful Life Prediction

Italian National Conference on Sensors
The accurate estimation of the remaining useful life (RUL) for aircraft engines is essential for ensuring safety and uninterrupted operations in the aviation industry.
Zhengyang Fan, Wanru Li, Kuo-chu Chang
semanticscholar   +1 more source

Remaining Useful Life (RUL) Prediction of Industrial Equipment Using a Hybrid Deep Learning Framework: Autoencoders, GANs, and Bayesian Ridge Regression

Abstract Industrial operations need extreme dependence on machinery reliability and efficiency not to experience unplanned equipment breakdown, thereby maximizing maintenance schedules. Since traditional approaches toward Remaining Useful Lifetime (RUL) estimation rely on prior knowledge and are incapable of dealing with the complexity and ...
Rajeev Ranjan, Sneha N, Madhu Shree M
openaire   +1 more source

A sparrow search algorithm-optimized LSTM framework with EMD denoising for rolling element bearing remaining useful life prediction. [PDF]

Sci Rep
Li Q, Zhang B, Fang X.
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

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

Prediction of remaining useful life for electronic equipment based on online PINN. [PDF]

Sci Rep
Han F, Mo B.
europepmc   +1 more source