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Showing 1 to 20 of 30 for “"Remaining Useful Life"”.
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A Study on Remaining Useful Life Prediction for Prognostic Applications
… (PHM) problems, especially 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 …
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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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Prognostic Algorithms for Condition Monitoring and Remaining Useful Life Estimation
… to identify, quantify, track and predict the remaining useful life of pumps su�ering from degradation caused by pumping large volumes of corrosive uorine gas. A comprehensive condition monitoring solution for thermal abatement systems is also presented. As part of this work, a multiple model …
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Methodologies for remaining useful life estimation with multiple sensors in rotating machinery
… The simulation framework is based on real life experiments and is applied to assess 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 …
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Rapid remaining-useful-life prediction of Li-ion batteries using image-based machine learning
… machine learning methodologies 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 …
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A Study of Mathematical Modeling of Remaining Useful Life, Assessment, and Prognostics & Health Management (PHM)
… research centers on 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 …
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Well Integrity Mapping Using Hybrid Model Based on Physics of Failure and Data-Driven Methods
… and data driven algorithms that can estimate remaining useful life of production casing in high pressure, high temperature, and sour well conditions. A unique degradation modeling and prognostics framework and analysis are presented in this study. A simulation tool is built for the analysis. …
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Prognostics and health management of light emitting diodes
… process of diagnosing, predicting the remaining useful life and estimating the reliability of systems and products. Prognostics and Health Management (PHM) has emerged in the last decade as one of the most efficient approaches in failure prevention, reliability estimation and remaining …
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Diagnostic and prognostic methodology for monitoring silk fade in a museum environment
… non-destructive methodology 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 …
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STATISTICAL MODELS AND INFERENCE FOR LI-ION BATTERY PROGNOSTICS
… battery in-cycle operation management and remaining useful life prediction in one framework and update prognostic results with real time observation. The effectiveness and promising features are demonstrated by practical case studies.
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Industrial Scalable Rolling Element Bearing Diagnostic and Prognostic Modelling
… of the bearing degradation curve to estimate the remaining useful life of the bearing, with consideration for both the bearing load and speed.
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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
… with sparse observations 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 …
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Physics-Informed Diagnostic and Prognostic Models for Rolling Element Bearings Using Oil Debris Data
… with Resample Move is deployed to estimate the remaining useful life. The paramount significance of this developed model lies in its adaptability to bearings of various sizes. This versatility ensures its applicability across various industrial contexts, thus offering an effective solution.
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Uncertainty management in prognosis of electric vehicle energy system
… technologies, in which we estimate 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 …
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Machine learning-based non-destructive evaluation of fatigue damage in metals
… and flaws at multiple 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 …
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Online tool condition monitoring for ultrasonic metal welding via sensor fusion and machine learning
… The TCM system can 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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Accelerated thermal degradation testing of GAN HEMTs under high-temperature stress
… also establish the foundation for future remaining useful life prediction and data driven prognostics model development, guiding the design of more robust GaN-based power electronics with improved thermal management and reliability margins.
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Monitoring and Prognostics for Broaching Processes by Integrating Process Knowledge
… and 3) system-level degradation modeling and remaining useful life prediction for broaching processes based on multiple images.
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