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Predictive maintenance programs for aircraft engines based on remaining useful life prediction. [PDF]
Sci RepXue F, Jin G, Tan L, Zhang C, Yu Y.
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IEEE Transactions on Industrial Electronics, 2022
Machine remaining useful life (RUL) prediction is vital in improving the reliability of industrial systems and reducing maintenance cost. Recently, long short-term memory (LSTM) based algorithms have achieved state-of-the-art performance for RUL prediction due to their strong capability of modeling sequential sensory data.
Keyu Wu, Xiaoli Li, Zhenghua Chen
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Machine remaining useful life (RUL) prediction is vital in improving the reliability of industrial systems and reducing maintenance cost. Recently, long short-term memory (LSTM) based algorithms have achieved state-of-the-art performance for RUL prediction due to their strong capability of modeling sequential sensory data.
Keyu Wu, Xiaoli Li, Zhenghua Chen
exaly +2 more sources
Prediction of Remaining Useful Life (RUL) of Bearing Using Exponential Degradation Model
Lecture Notes in Mechanical Engineering, 2022Keval Bhavsar, Vinay Vakharia
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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), 2021For 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
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RUL-Mamba: Mamba-based remaining useful life prediction for lithium-ion batteries
Journal of Energy StorageJiahui Huang +4 more
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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
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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), 2022Eliza Maria Olariu +3 more
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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
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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
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
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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