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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

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

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

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

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

Remaining useful life (RUL) prediction for FDIA on IoT sensor data using CNN and GRU

2021 International Conference on Advances in Technology, Management & Education (ICATME), 2021
Shipra Singh, Kaptan Singh, Amit Saxena
openaire   +1 more source

Prediction of Remaining Useful Life (RUL) of Bearing Using Exponential Degradation Model

Lecture Notes in Mechanical Engineering, 2023
Keval Bhavsar, Vinay Vakharia
exaly  

Machine Remaining Useful Life (RUL) Prediction Based on Particle Swarm Optimization (PSO)

2021
Mohd Najmi Tahir   +4 more
openaire   +1 more source

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