Results 1 to 10 of about 419,717 (299)

Battery Remaining Useful Life Prediction with Inheritance Particle Filtering

Energies, 2019
Accurately forecasting a battery’s remaining useful life (RUL) plays an important role in the prognostics and health management of rechargeable batteries. An effective forecast is reported using a particle filter (PF), but it currently suffers from
Lin Li, Alfredo Alan Flores Saldivar, Yun Bai, Yun Li   +3 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

LSTM-Based Broad Learning System for Remaining Useful Life Prediction

Mathematics, 2022
Prognostics and health management (PHM) are gradually being applied to production management processes as industrial production is gradually undergoing a transformation, turning into intelligent production and leading to increased demands on the ...
Xiaojia Wang, Ting Huang, Keyu Zhu, Xibin Zhao   +3 more
doaj   +1 more source

Lithium-ion Battery Degradation Assessment and Remaining Useful Life Estimation in Hybrid Electric Vehicle

Renewable Energy and Sustainable Development, 2016
—Prognostic activity deals with prediction of the remaining useful life (RUL) of physical systems based on their actual health state and their usage conditions.
Nabil Laayouj, Hicham Jamouli
doaj   +1 more source

Remaining Useful Life Prediction of High-Frequency Swing Self-Lubricating Liner

Shock and Vibration, 2021
The remaining useful life (RUL) prediction of self-lubricating spherical plain bearings is essential for replacement decision-making and the reliability of high-end equipment. The high-frequency swing self-lubricating liner (HSLL) is the key component of
Xiuhong Hao, Shuqiang Wang, Mengfan Chen, Deng Pan   +3 more
doaj   +1 more source

Contending Remaining Useful Life Algorithms

Annual Conference of the PHM Society, 2020
Operational readiness, reliability and safety are all enhanced through condition monitoring. That said, for many assets, there is still a need for a prognostic capability to calculate remaining useful life (RUL). RUL allows operation and maintenance personnel to better schedule assets, and logisticians to order long lead time part to help improve ...
Eric Bechhoefer, Marc Dube
openaire   +2 more sources

Determination of Remaining Useful Life of Gas Turbine Blade

MATEC Web of Conferences, 2016
The aim of this research is to determine the remaining useful life of gas turbine blade, using service-exposed turbine blades. This task is performed using Stress Rupture Test (SRT) under accelerated test conditions where the applied stresses to the ...
Meor Said Mior Azman, Osman Muhammad Hafizuddin, Megat Yusoff Puteri Sri Melor, Sulaiman Shaharin Anwar, Syed Ahmad Ghazali Syed M Afdhal   +4 more
doaj   +1 more source

Remaining Useful Life Prediction of End Mills Using DCNN-McBiLSTM-LRSA with Multi-Source Sensory Signals

Applied Sciences
In precision mold manufacturing, the machining of HRC52 hardened steel causes severe tool wear and high noise in multi-source sensor signals, making accurate remaining useful life (RUL) prognostics challenging.
Ganglong Duan, Haonan Sun, Sijia Zhong, Hongquan Xue   +3 more
doaj   +1 more source

Remaining Useful Life Estimation of Bearings

International Journal of Prognostics and Health Management, 2021
In the domain of predictive maintenance, when trying to repli- cate and compare research in remaining useful life estimation (RUL), several inconsistencies and errors were identified in the experimental methodology used by various researchers. This makes the replication and the comparison of results diffi- cult, thus severely hindering both progress in
Hugo M. Ferreira, Alexandre C. de Sousa
openaire   +3 more sources

Attention-Gaussian-LSTM-Wiener based remaining useful life prediction method

Autonomous Intelligent Systems
Most machine learning-based remaining useful life (RUL) prediction methods only yield point predictions, and their “black-box” nature results in low interpretability.
Shuiyuan Cao, Liguo Qin, Hanwen Zhang, Aiming Wang, Jun Shang   +4 more
doaj   +1 more source