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Multiclass classification for predicting Remaining Useful Life (RUL) of the turbofan engine

2021 11th International Conference on Cloud Computing, Data Science & Engineering (Confluence), 2021
For complex equipment and systems or their subsystems maintaining good health is very important. Several approaches were tried by the researchers applied by the industry professionals to predict the health of equipment, to take corrective measures. In this context, data analysis and machine learning are the latest tools that use historical data of ...
Piyush Soni   +3 more
openaire   +1 more source

PROGNOS: an automatic remaining useful life (RUL) prediction model for military systems using machine learning

Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications IV, 2022
In modern industrial settings, the quality of maintenance efforts directly influence equipment’s operational uptime and efficiency. Condition monitoring is a common process employed for predicting the health of a technical asset, whereby a predictive maintenance strategy can be adopted to minimize machine downtime and potential losses.
Sürücü O   +7 more
openaire   +2 more sources

Tool wear and remaining useful life (RUL) prediction based on reduced feature set and Bayesian hyperparameter optimization

Production Engineering, 2021
Accurate prediction of machine tool wear is an essential part of modern and efficient manufacturing. In recent years, many studies have been carried out using machine learning algorithms, both traditional and deep learning; with the latter ones reporting the highest precisions.
Fabio C. Zegarra   +2 more
openaire   +1 more source

Application of Prognostics and Health Management (PHM) to Software System Fault and Remaining Useful Life (RUL) Prediction

Volume 5: 26th Design for Manufacturing and the Life Cycle Conference (DFMLC), 2021
Abstract Prognostics and Health Management (PHM) is an engineering discipline focused on predicting the point at which systems or components will no longer perform as intended. The prediction is often articulated as a Remaining Useful Life (RUL). RUL is an important decision-making tool for contingency mitigation, i.e., the prediction of
Mohammad Rubyet Islam, Peter Sandborn
openaire   +1 more source

The Prediction of Remaining Useful Life (RUL) in Oil and Gas Industry using Artificial Neural Network (ANN) Algorithm

2019 IEEE Conference on Big Data and Analytics (ICBDA), 2019
Today, modern industrial equipment is very complex as it involves sophisticated assets and systems. Thus, machine equipment optimization and safety have become operators' main concerns in the quest for maintaining optimum operational efficiency, asset availability, safety and cost-effective.
Muhammad Farhan Asyraf Mohd Fauzi   +2 more
openaire   +1 more source

Remaining Useful Life (RUL) Prediction of Rolling Element Bearing Using Random Forest and Gradient Boosting Technique

Volume 13: Design, Reliability, Safety, and Risk, 2018
Rolling element bearings are very important and highly utilized in many industries. Their catastrophic failure due to fluctuating working conditions leads to unscheduled breakdown and increases accidental economical losses. Thus these issues have triggered a need for reliable and automatic prognostics methodology which will prevent a potentially ...
Sangram Patil   +5 more
openaire   +1 more source

Predictive Maintenance - Exploring strategies for Remaining Useful Life (RUL) prediction

2022 IEEE 18th International Conference on Intelligent Computer Communication and Processing (ICCP), 2022
Eliza Maria Olariu   +3 more
openaire   +1 more source

An integrated framework for the prediction of Remaining Useful Life (RUL) of supersonic aircraft using experimental strain data

Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science
This study aims to evaluate Remaining Useful Life (RUL) of supersonic aircraft using a two-fold integrated approach that combines experimental and computational methods. A comprehensive framework was developed that included the identification of Fatigue Critical Locations (FCLs), aircraft instrumentation, Ground Strain Survey (GSS), in-flight testing ...
Zahid Ahmad   +5 more
openaire   +1 more source

Prediction of remaining useful life (RUL) of ball-grid-array (BGA) interconnections during testing on the board level

2014 IEEE Aerospace Conference, 2014
In this paper, a printed circuit board (PCB) carrying surfacemounted devices (SMD) subjected to impact or vibration loads applied to its support contour is considered. A model-based prognosis approach is employed to assess the remaining useful life (RUL) of the ball-grid-array (BGA) solder joint interconnections. The approach deals with the interaction
David Gucik-Derigny   +3 more
openaire   +1 more source

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