Results 21 to 30 of about 3,281,484 (268)
Domain adaptation via alignment of operation profile for Remaining Useful Lifetime prediction
Reliability Engineering and System Safety18 pages,11 ...
Mengjie Zhao +2 more
exaly +7 more sources
A Hybrid Prognostic Methodology and its Application to Well-Controlled Engineering Systems [PDF]
, 2015 This thesis presents a novel hybrid prognostic methodology, integrating physics-based and data-driven prognostic models, to enhance the prognostic accuracy, robustness, and applicability.
Eker, Ömer Faruk
core +7 more sources
An architecture for controlling the remaining useful lifetime of a friction drive system
IFAC-PapersOnLine, 2018 Abstract This paper presents an approach to control the remaining useful lifetime (RUL) of a friction drive system. The approach is based on the assumption that the system deterioration is a consequence of the motion control actions. These control actions have short-term objectives that have to be modified, based on the predicted RUL, to be ...
Christophe Bérenguer
exaly +2 more sources
RMS Based Health Indicators for Remaining Useful Lifetime Estimation of Bearings [PDF]
Modeling, Identification and Control, 2022 Estimating the remaining useful life (RUL) of bearings from healthy to faulty is important for predictive maintenance. The bearing fault severity can be estimated based on the energy or root mean square (RMS) of vibration signals, and a stopping ...
Andreas Klausen +2 more
doaj +1 more source
Improving Semi-Supervised Learning for Remaining Useful Lifetime Estimation Through Self-Supervision
International Journal of Prognostics and Health Management, 2022 RUL estimation plays a vital role in effectively scheduling maintenance operations. Unfortunately, it suffers from a severe data imbalance where data from machines near their end of life is rare.
Tilman Krokotsch +2 more
doaj +1 more source
IEEE Access, 2022 Existing joint maintenance decision research typically ignores remaining useful lifetime (RUL) predictions for the accelerated degradation of equipment.
Dingyuan Xue, Zezhou Wang, Yunxiang Chen
doaj +1 more source
Remaining Useful Lifetime (RUL): Probabilistic Predictive Model
International Journal of Prognostics and Health Management, 2021 Reliability evaluations and assurances cannot be delayed until the device (system) is fabricated and put into operation. Reliability of an electronic product should be conceived at the early stages of its design; implemented during manufacturing; evaluated (considering customer requirements and the existing specifications), by electrical, optical ...
openaire +3 more sources
, 2021 Transformer implementation with PyTorch for remaining useful life prediction on turbofan engine with NASA CMAPSS data set. Inspired by Mo, Y., Wu, Q., Li, X., & Huang, B. (2021).
Jia-Xiang Cheng
core +1 more source
A machine learning framework for remaining useful lifetime prediction of li-ion batteries using diverse neural networks [PDF]
, 2023 Accurate prediction of the remaining useful life (RUL) of li-ion batteries (LIBs) is essential for enhancing the operational efficiency and safety of LIB-powered applications.
Junghwan, Lee +3 more
core +1 more source
Energy and AI, 2023 The health management of batteries is a key enabler for the adoption of Electric Vertical Take-off and Landing vehicles (eVTOLs). Currently, few studies consider the health management of eVTOL batteries.
Mihaela Mitici +3 more
doaj +1 more source