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Showing 1 to 5 of 5 for “"Remaining-useful-life estimation"”.
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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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Physics-Informed Interpretable Attention-based Machine Learning for Jet Turbine Prediction
The prediction of future engine states are useful for performance evaluation and anomaly detection of jet turbines. While a variety of modeling approaches exist, many are not capable of efficiently utilizing the vast quantities of data from test experimentation in a manner that is not opaque to the …
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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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Observer-Based Simultaneous States and Parameters Estimation Method with Application to System Heath Monitoring
Joint state and parameter estimation is paramount in many engineering and scientific fields, as it involves determining the internal states of a system and the estimation of its time-varying / unknown parameters simultaneously. This twin estimation aspect is crucial for real-time system monitoring, …