Results 61 to 70 of about 4,709,515 (265)

Machine performance degradation assessment and remaining useful life prediction using proportional hazard model and SVM [PDF]

This paper proposes a three-stage method involved system identification techniques, proportional hazard model, and support vector machine for assessing the machine health degradation and forecasting the machine remaining useful life (RUL).
Tran, Van Tung
core   +3 more sources

Remaining Useful Life Estimation In the Presence of Given Shocks [PDF]

International Journal of Industrial Engineering and Production Research, 2022
In a system, prediction of remaining useful lifetime (RUL) of servicing before reaching to a specified breakdown threshold is a very important practical issue, and research in this field is still regarded as an appreciated research gap.
Mehrnaz Piroozbakht, Sedigh Raissi, Meysam Rafei, Shahrooz Bamdad   +3 more
doaj  

Characterization of Defect Distribution in an Additively Manufactured AlSi10Mg as a Function of Processing Parameters and Correlations with Extreme Value Statistics

Advanced Engineering Materials, EarlyView.
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt, Varma Kvvssn, Hossein Laieghi, Zia Uddin, Peyman Ansari, E. Kıvanç Sadak, Can Barış Toprak, Hüseyin Kızıl, Enrico Salvati   +8 more
wiley   +1 more source

Prognostic modelling options for remaining useful life estimation by industry

, 2011
Over recent years a significant amount of research has been undertaken to develop prognostic models that can be used to predict the remaining useful life of engineering assets.
M. Hodkiewicz, J.Z. Sikorska, Hodkiewicz, Melinda, L. Ma, Ma, Lin, Sikorska, Joanna   +5 more
core   +1 more source

Nonlinear Step-Stress Accelerated Degradation Modeling and Remaining Useful Life Estimation Considering Multiple Sources of Variability

IEEE Access, 2019
In the absence of sufficient degradation data of long-lifetime and highly reliable products, a step-stress accelerated degradation model based on nonlinear diffusion process is proposed to estimate the remaining useful life (RUL), with the advantage of ...
Zhenan Pang, Changhua Hu, Xiaosheng Si, Jianxun Zhang, Dangbo Du, Hong Pei   +5 more
doaj   +1 more source

A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions

Advanced Engineering Materials, EarlyView.
This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice, Krzysztof S. Stopka, Michael D. Sangid   +2 more
wiley   +1 more source

Machine learning applied to circuit modeling: Remaining Useful Lifetime estimation

, 2022
openNegli ultimi anni, il machine learning ha subito sviluppi significativi, tanto da essere sempre più utilizzato in un'ampia varietà di discipline.
MAROGNA, DENISE
core  

Microstructural Evolution and Vacancy Defect Formation in Mn–Mo–Ni RPV Steel Under Low Cycle Fatigue: Insights From EBSD and PALS

Advanced Engineering Materials, EarlyView.
Low‐cycle fatigue damage in Mn–Mo–Ni reactor pressure vessel steel is examined using a combined electron backscatter diffraction and positron annihilation lifetime spectroscopy approach. The study correlates texture evolution, dislocation substructure development, and vacancy‐type defect formation across uniform, necked, and fracture regions, providing
Apu Sarkar, Dhanadeep Dutta, G. Bharat Reddy   +2 more
wiley   +1 more source

Uncertainty Analysis for Fatigue Load Estimators in Wind Turbines

Wind Energy
Like explicit measurements of fatigue loads, their estimation using suitable algorithms is subject to uncertainty. This paper proposes a method to quantify this uncertainty.
Phillip Kretschmer, Boris Fischer, Jacob Laborenz, Jörg Schwarte   +3 more
doaj   +1 more source

IoT-Based IGBT Power Module Health Monitoring System With RUL Estimation for Electric Drive Applications

IEEE Access
Insulated Gate Bipolar Transistor (IGBT) is a crucial and sensitive component in electric motor drive applications, and its reliability has gained significant research attention. Estimating the remaining life of converter IGBTs is essential for enhancing
R. Manikandan, R. Raja Singh
doaj   +1 more source