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Prediction of remaining useful life for mech equipment using regression [PDF]
, 2019 Maintenance has always been an important function in any manufacturing operations. Recently, Condition Based Maintenance (CBM) prognosis approach is gaining popularity in prediction of mechanical equipment remaining useful life (RUL). However, there is a
Hamid, M. F. A. +3 more
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2025 IEEE 37th International Conference on Tools with Artificial Intelligence (ICTAI)Accurate prediction of Remaining Useful Life (RUL) in aero-engines is vital for predictive maintenance, improved operational reliability, and reduced lifecycle costs. While deep learning approaches have demonstrated strong potential in this area, most existing methods focus primarily on model architecture design and treat input features uniformly ...
Florent Imbert +2 more
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A Study on Remaining Useful Life Prediction for Prognostic Applications [PDF]
, 2011 We consider the prediction algorithm and performance evaluation for prognostics and health management (PHM) problems, especially the prediction of remaining useful life (RUL) for the milling machine cutter and lithium ‐ ion battery. We modeled battery as
Liu, Gang
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Prognostic and Health Management (PHM) are crucial ways to avoid unnecessary maintenance for Cyber-Physical Systems (CPS) and improve system reliability. Predicting the Remaining Useful Life (RUL) is one of the most challenging tasks for PHM. Existing methods require prior knowledge about the system, contrived assumptions, or temporal mining to model ...
Zekai Zhang +6 more
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A data-driven framework for remaining useful life estimation
, 2017 Remaining useful life (RUL) estimation is one of the most common tasks in the field of prognostics and structural health management. The aim of this research is to estimate the remaining useful life of an unspecified complex system using some data-driven
Hoa Dinh Nguyen
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Scientific ReportsGears, as indispensable components of machinery, demand accurate prediction of their Remaining Useful Life (RUL). To enhance the utilization of ordered information within time series data and elevate RUL prediction precision, this study introduces the ...
Xinping Chen
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SensorsThe remaining useful life (RUL) prediction of RF circuits is an important tool for circuit reliability. Data-driven-based approaches do not require knowledge of the failure mechanism and reduce the dependence on knowledge of complex circuits, and thus ...
Wanyu Yang +3 more
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Prediction of Mining Railcar Remaining Useful Life
, 2019 Railcar or Rolling stock that is referring to all vehicles moving on railway, is one of the most important component of the rail transport system.
Behzad Ghodrati +5 more
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Optimizing Maintenance Schedules of Turbofan Engines Using Remaining Useful Life ( RUL) Prediction
Turbofan engines operate under extreme thermal, mechanical, and environmental stresses, making timely maintenance critical for safety, reliability, and cost efficiency. Traditional maintenance strategies such as reactive and fixed-interval preventive maintenance often lead to unexpected failures or unnecessary component replacements.
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Jixie chuandong, 2014 An efficient remaining useful life（RUL）can provide key information for manager to make preventive maintenance strategy and prevent equipment unexpected downtime.Aim to nonlinear state process of equipment and real-time demand of life prediction in ...
林国语, 贾云献, 孙磊
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