remaining useful life
A Bayesian Quantitative Nondestructive Evaluation (QNDE) Approach to Estimating Remaining Useful Life of Aging Pressure Vessels and Piping
... the remaining useful life of an aging structure, because the evidence gathered is structure-specific, much like the blood test data on an individual seeking the help of a doctor to diagnose a health ...
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Lithium-ion batteries Remaining Useful Life Prediction Method Considering Recovery Phenomenon
... battery remaining useful life (RUL) is the key to lithium battery health ...the life of lithium ...on remaining useful life, the RUL degradation model with recovery effect ...
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A neural network filtering approach for similarity based remaining useful life estimation
... similarity-based remaining useful life estimation model identifies the best matching portion of training health indicators for each test health indicator and produces future multistep predictions of ...
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NARX time series model for remaining useful life estimation of gas turbine engines
... with life-threatening conditions (Saxena, Goebel, Simon, & Eklund, ...for remaining useful life calculations, such as expo- nential growths and unstable operating conditions or inabil- ity ...
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The Remaining Useful Life Estimation of Lithium-ion Battery Based on Improved Extreme Learning Machine Algorithm
... the remaining useful life (RUL) of lithium-ion battery more accurately, a new prediction method based on extreme learning machine (ELM) is proposed in this ...
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Feed Forward Backpropagation Neural Network Model to Predict Remaining Useful Life Estimation of Ion Implant Tool
... based remaining useful life (RUL) prediction ...of remaining useful life (RUL) is an important tool to reduce maintenance cost of ...accurate remaining useful ...
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Remaining Useful Life Assessment of Lithium-ion Battery based on HKA-ELM Algorithm
... Accurately predicting the remaining useful life (RUL) of lithium-ion batteries is very important to battery management systems (BMS). Recently, Extreme Learning Machine (ELM) algorithm has been ...
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Lithium-ion Battery Remaining Useful Life Prediction Based on Exponential Smoothing and Particle Filter
... the remaining useful life of batteries, in this paper, a novel hybrid method that includes a particle filter, exponential smoothing and a capacity degradation model is ...the remaining ...
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The Remaining Useful Life Estimation of Lithium-ion Batteries Based on the HKA -ML-ELM Algorithm
... the remaining useful life (RUL) of lithium-ion batteries is of great significance for battery management and ensuring the reliability of electronic ...
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Wind turbine gearbox failure and remaining useful life prediction using machine learning techniques
... This work found that trends in 10-minute SCADA oil or bearing temperature data showed no indication of failure when considered alone. Through analysis of thousands of wind turbines with hundreds of gearbox tooth or ...
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Data Assimilation Algorithm for Remaining Useful Life Prediction of Aircraft Engine
... Remaining Useful Life (RUL) mainly refers to the remaining service life after a period of operation of the system, accurately predicting the remaining useful life ...
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An adaptive data filtering model for remaining useful life estimation
... Due to the incomplete understanding on the multi-dimensional failure mech- anisms and the collaboration between data sources, current prognostic methods lack the ability to deal effectively with complicated ...
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Remaining Useful Life Model and Assessment of Mechanical Products: A Brief Review and a Note on the State Space Model Method
... The remaining useful life (RUL) prediction of mechanical products has been widely studied for online system per- formance reliability, device remanufacturing, and product safety (safety awareness and ...
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Prediction of the Remaining Useful Life of Aircraft Systems via Web Interface
... Abstract—In this work a web-based tool is presented for the simulation of a Prognostics and Health Management (PHM) system used for exploring and test- ing different machine learning experimental scenarios with the goal ...
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Prediction of Remaining Useful Life for Lithium-Ionbattery with Multiple Health Indicators
... its remaining useful life ...of remaining charge-discharge cycles before the battery capacity deteriorates to a predetermined failure threshold ...
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A Study on Remaining Useful Life Prediction for Prognostic Applications
... For other uses you need to obtain permission from the rights- holder(s) directly, unless additional rights are indicated by a Creative Commons license in the record and/or on the work i[r] ...
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Data Driven Approach to Non-stationary EMA Fault Detection and Investigation Into Remaining Useful Life
... Narasimhan et al. [1] investigated twelve EMA fault conditions includ- ing nut jam, motor failure, spall, and many sensor faults using a hybrid architecture applied to the Flyable Electromechanical Actuator (FLEA) sys- ...
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Outlier Modeling in Gear Bearing Using Autoencoder for Remaining Useful Life Prediction
... A number of distinguished engineers and scholars have also conducted reviews of RUL prediction. Heng et al. [11] summarised conventional reliability models, condition-based prognostic models, and their hybrid models. Ye ...
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Classification and segmentation methods with application in audio and acoustic signal processing
... Envelope Analysis and Data-Driven Ap proaches to Acoustic Feature Extraction for Predicting the Remaining Useful Life of Rotating Machinery, Proceedings of the IEEE International Confer[r] ...
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Led screen Service Prediction Using Remote Monitoring
... the remaining useful life ...its remaining useful life on probability, covariates have to be carefully chosen and evaluated and data is needed on the time it took until the ...
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