Results 21 to 30 of about 26,721 (240)

Remaining Useful Life (RUL) Estimation for Lithium-Ion Battery Using Extreme Learning Machine

International Journal of Environmental Sciences
Study proposes a new method for predicting the remaining useful life (RUL) of lithium-ion batteries using the Extreme Learning Machine (ELM) algorithm by employing advanced feature extraction techniques to identify critical parameters influencing battery degradation.
Vimal Singh Bisht, Atul jaysing Patil, Kiran Kumar, Abhishek Thapliyal, Sandeep Sunori,, Md Waseem Ahmad, Md Fahim Ansari   +6 more
openaire   +3 more sources

Prediction of remaining useful life (RUL) of Komatsu excavator under reliability analysis in the Weibull-frailty model. [PDF]

PLoS One, 2020
Ghomghaleh A, Khaloukakaie R, Ataei M, Barabadi A, Nouri Qarahasanlou A, Rahmani O, Beiranvand Pour A.   +6 more
europepmc   +3 more sources

Cyclic monitoring of the Remaining Useful Life RUL for the Bearing fault prognosis

, 2023
Over the last decades, Prognostics has played a dominant role in preventive maintenance inmanufacturing. It usually involves estimating the Remaining Useful Life (RUL) or the Time to Failure (TTF)of mechanical systems. In Prognosis, the analysis could often be purely data-driven (Trend Analysis). Itrequires a vast data set and offers the double benefit
A. Benyagoub
openaire   +3 more sources

Advanced Remaining Useful Life (RUL) Predictions in Aircraft Maintenance Using Deep Learning [PDF]

International Journal of Electronics and Communication Engineering
Sakthivel Janarthanan, A. Anthonisan
openaire   +2 more sources

The Application of Frailty Model in Remaining Useful Life Estimation (Case Study: Sungun Copper Mine's Loading System) [PDF]

مجله مدل سازی در مهندسی, 2020
The Residual Useful Life (RUL) provides an estimate of the amount of remaining useful life before a system failure depends on present conditions and past operating profiles. In this paper, RUL is estimated based on reliability and for convergence to more
Awat Ghomghale, Mohammad Ataei, Reza Khalokakaie, Abbas Barabadi, Ali Nouri Qarahasanlou   +4 more
doaj   +1 more source

XGBoost-Based Remaining Useful Life Estimation Model with Extended Kalman Particle Filter for Lithium-Ion Batteries

Sensors, 2022
The instability and variable lifetime are the benefits of high efficiency and low-cost issues in lithium-ion batteries.An accurate equipment’s remaining useful life prediction is essential for successful requirement-based maintenance to improve ...
Sadiqa Jafari, Yung-Cheol Byun
doaj   +1 more source

Three-Stage Wiener-Process-Based Model for Remaining Useful Life Prediction of a Cutting Tool in High-Speed Milling

Sensors, 2022
Tool condition monitoring can be employed to ensure safe and full utilization of the cutting tool. Hence, remaining useful life (RUL) prediction of a cutting tool is an important issue for an effective high-speed milling process-monitoring system ...
Weichao Liu, Wen-An Yang, Youpeng You
doaj   +1 more source

Remaining Useful Life Prediction Method for Bearings Based on LSTM with Uncertainty Quantification

Sensors, 2022
To reduce the economic losses caused by bearing failures and prevent safety accidents, it is necessary to develop an effective method to predict the remaining useful life (RUL) of the rolling bearing.
Jinsong Yang, Yizhen Peng, Jingsong Xie, Pengxi Wang   +3 more
doaj   +1 more source

ESTIMATING THE REMAINING USEFUL LIFE (RUL) OF AN UNSPECIFIED AIRCRAFT ENGINE USING SUPPORT VECTOR MACHINE SVM

International Research Journal of Modernization in Engineering Technology and Science, 2023
Heramb Chougaonkar, Yash Gargade, Shubham Pawar, Yashank Bhamare, Dhananjay Kanade   +4 more
openaire   +2 more sources

Shapelet selection based on a genetic algorithm for remaining useful life prediction with supervised learning

Heliyon, 2022
RUL (remaining useful life) shapelets were recently developed to overcome the shortcomings of similarity-based RUL prediction methods, such as high sensitivity to parameters.
Gilseung Ahn, Min-Ki Jin, Seok-Beom Hwang, Sun Hur   +3 more
doaj   +1 more source