Recent advances and trends of predictive maintenance from data-driven machine prognostics perspective

Y Wen, MF Rahman, H Xu, TLB Tseng - Measurement, 2022 - Elsevier
In the Engineering discipline, prognostics play an essential role in improving system safety,
reliability and enabling predictive maintenance decision-making. Due to the adoption of …

Advances in corrosion growth modeling for oil and gas pipelines: A review

H Ma, W Zhang, Y Wang, Y Ai, W Zheng - Process Safety and …, 2023 - Elsevier
To quantify the progress of corrosion damage and develop pipeline integrity management
strategies, it is necessary to establish a reliable corrosion growth model. Due to the …

Long short-term memory network with Bayesian optimization for health prognostics of lithium-ion batteries based on partial incremental capacity analysis

H Meng, M Geng, T Han - Reliability Engineering & System Safety, 2023 - Elsevier
Prognostics and health management (PHM) are developed to accurately estimate the state
of health (SOH) of lithium-ion batteries, which are crucial parts for planning the employment …

Dual-aspect self-attention based on transformer for remaining useful life prediction

Z Zhang, W Song, Q Li - IEEE Transactions on Instrumentation …, 2022 - ieeexplore.ieee.org
Remaining useful life (RUL) prediction is one of the key technologies of condition-based
maintenance (CBM), which is important to maintain the reliability and safety of industrial …

Prognostics and remaining useful life prediction of machinery: advances, opportunities and challenges

N Gebraeel, Y Lei, N Li, X Si, E Zio - Journal of Dynamics …, 2023 - ojs.istp-press.com
As the fundamental and key technique to ensure the safe and reliable operation of vital
systems, prognostics with an emphasis on the remaining useful life (RUL) prediction has …

Remaining useful life estimation for prognostics of lithium-ion batteries based on recurrent neural network

M Catelani, L Ciani, R Fantacci… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Prognostic and condition-based maintenance of lithium-ion batteries is a fundamental topic,
which is rapidly expanding since a long battery lifetime is required to ensure economic …

A review on physics-informed data-driven remaining useful life prediction: Challenges and opportunities

H Li, Z Zhang, T Li, X Si - Mechanical Systems and Signal Processing, 2024 - Elsevier
Remaining useful life (RUL) prediction, known as 'prognostics', has long been recognized as
one of the key technologies in prognostics and health management (PHM) to maintain the …

[HTML][HTML] A data-driven long-term metocean data forecasting approach for the design of marine renewable energy systems

M Penalba, JI Aizpurua, A Martinez-Perurena… - … and Sustainable Energy …, 2022 - Elsevier
Abstract The potential of Marine Renewable Energy (MRE) systems is usually evaluated
based on recent metocean data and assuming the stationarity of the MRE resource. Yet …

A survey of modeling for prognosis and health management of industrial equipment

YA Yucesan, A Dourado, FAC Viana - Advanced Engineering Informatics, 2021 - Elsevier
Prognosis and health management plays an important role in the control of costs associated
with operating large industrial equipment, such as wind turbines and aircraft. It is only fair …

Feature fusion model based health indicator construction and self-constraint state-space estimator for remaining useful life prediction of bearings in wind turbines

X Li, W Teng, D Peng, T Ma, X Wu, Y Liu - Reliability Engineering & System …, 2023 - Elsevier
Accurate remaining useful life prognosis of bearings in wind turbines is beneficial for
operation and maintenance schedule at wind farms. The major technical challenges include …