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Showing 1 to 16 of 16 for “"RUL"”.
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A Study of Mathematical Modeling of Remaining Useful Life, Assessment, and Prognostics & Health Management (PHM)
… mathematical modeling of remaining useful life (RUL) and its assessment of a device or system. Remaining useful life has always been an essential part of reliability theory. It has also been equally important in various other fields such as actuarial science, engineering management, survival …
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Evolutionary Optimization of Neural Architectures for Remaining Useful Life Prediction
Remaining useful life (RUL) predictions are a key enabler to achieving efficient maintenance in the context of Industry 4.0. Data-driven approaches, in particular employing deep neural networks (DNNs), have shown success in the RUL prediction task. However, although their architecture considerably …
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Uncertainty management in prognosis of electric vehicle energy system
… the End-Of-Life (EOL) and Remaining-Useful-Life (RUL) of a failing component or system, with the time evolution of the incipient failure increasing the uncertainty bounds as the fault horizon also increases. In the given testbed case, the life of the electric vehicle energy system is not …
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Rapid remaining-useful-life prediction of Li-ion batteries using image-based machine learning
… to predict the remaining-useful-life (RUL) of lithium-ion batteries reliably, accurately, and swiftly. Firstly, a method that prides itself on being publicly available, and which can be easily implemented alongside existing methodology, is proposed to increase the prediction accuracy of …
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A Study on Remaining Useful Life Prediction for Prognostic Applications
… the prediction of remaining useful life (RUL) for the milling machine cutter and lithium ‐ </p> </p> <p> <p>ion battery. We modeled battery as a voltage source and internal resisters. By analyzing voltage change trend during discharge, we made the prediction of battery remain discharge …
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Machine learning-based non-destructive evaluation of fatigue damage in metals
… length scales. Besides, a remaining useful life (RUL) estimation framework with hierarchical classifiers and S-N curves for identifying fatigue damage levels and inferring RUL is developed. In addition, regression models are developed to estimate residual stress and full width at half maximum …
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ENHANCING BUILDING FAULT DETECTION, DIAGNOSTICS, AND PROGNOSTICS THROUGH A HYBRID PHYSICS-INFORMED MODELING FRAMEWORK FOR OVERCOMING QUANTITY AND TEMPORAL DATA SCARCITY
… to accurately estimate Remaining Useful Life (RUL). Experimental results demonstrate significant performance gains: HCGAN improves data fidelity by 50% over baselines, while DC-PF reduces prognosis error by roughly 57%. Integrated into a unified pipeline, this framework transforms sparse …
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Análise da vida residual e manutenção em compressor de alta pressão de uma turbina de uso aeronáutico
… learning na predição de vida útil restante (RUL) de compressores de alta pressão em motores turbofan, utilizando dados simulados que refletem condições reais de operação. O estudo conduzido foi capaz de validar a eficácia da abordagem de predição de vida útil restante no conjunto de dados do …
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Diagnostic and prognostic methodology for monitoring silk fade in a museum environment
… that can predict the remaining useful life (RUL) of silk within the controlled museum environment. The benefit arising from this research is to improve the decision-making process, relating specifically to the conservation of silk, through the application of this novel methodology and …
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Online tool condition monitoring for ultrasonic metal welding via sensor fusion and machine learning
… be extended to predict remaining useful life (RUL) of tools and and integrated with a controller to adjust welding parameters accordingly.
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Data driven artificial intelligence techniques in renewable energy system
… power transformers; (2) remaining useful life (RUL) prediction of IoT enabled equipment; (3) AI-enabled algorithms can automate processes and make real time grid system optimization, such as energy storage, demand response (DR) and grid flexibility. The main focus is on data driven AI techniques …
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Predictive maintenance for industry 4.0, a holistic approach to performing predictive maintenance as a service.
… of predictive maintenance modules for estimating RUL (Remaining Useful Life) and maintenance scheduling modules for supporting multiple machines/components. The design of architecture and algorithms are implemented within the leading FIWARE platform. The results are verified in terms of …
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Methodologies for remaining useful life estimation with multiple sensors in rotating machinery
… a number of data-driven Remaining Useful Life (RUL) estimation techniques namely i) Proportional Hazards Μodel (PHM), ii) ε- Support Vector Regression ε-SVR and iii) Exponential extrapolation based on bootstrap sampling. In the current thesis a feature extraction scheme for prognosis is proposed …
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Dynamic Fleet Maintenance Management
… components that are monitored, the quality of RUL prognosis, and the balance of maintenance costs and service risks. The applicability of the approach is demonstrated through a case study using a real industrial scenario of a fleet of high speed trains from Talgo in Spain. The thesis concludes …
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Rab-domain dynamics in endocytic membrane trafficking
… to expectations, however, the protein (termed RUL for *R*ab interacting *U*biquitin *L*igase) does not function in recycling,but appears to mediate trafficking between Golgi/TGN and endosomes instead.In order to address the dynamics of Rab-domains, fluorescently tagged Rab-GTPases were imaged …
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Analisi e gestione dei sistemi di accumulo dell’energia a batteria e degli impianti fotovoltaici
… in letteratura su come identificare il RUL secondo la cosiddetta change point analysis. Contestualmente, nell'ottica di una sempre più efficiente integrazione delle batterie negli impianti rinnovabili, sono stati studiati gli aspetti legati agli impianti fotovoltaici. Pertanto, il …