Results 41 to 50 of about 10,687,564 (278)
Remaining Useful Life Estimation Using CNN-XGB With Extended Time Window
IEEE Access, 2019 The remaining useful life estimation has been widely studied for engineering systems. A system commonly works under varying operating conditions, which may affect the system degradation trajectory differently and consequently reduce the accuracy of ...
Xiaoyong Zhang +7 more
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Remaining useful life estimation using an inverse Gaussian degradation model [PDF]
Neurocomputing, 2016 The use of degradation data to estimate the remaining useful life (RUL) has gained great attention with the widespread use of prognostics and health management on safety critical systems. Accurate RUL estimation can prevent system failure and reduce the running risks since the efficient maintenance service could be scheduled in advance.
Donghui Pan, Jia-Bao Liu, Jinde Cao
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Deep state space models for remaining useful life estimation [PDF]
Applied Soft ComputingDeep learning has been used to train neural networks to estimate the Remaining Useful Life (RUL) of a machine given sensor signals from that machine. This has resulted in some accurate state-of-the-art RUL estimation models. Here we present a novel way to construct a generative model to estimate the RUL and quantify its uncertainty.
Marco Star, Kristoffer K. McKee
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Fuzzy Inference System-Based Prognostics for Remaining Useful Life Estimation
Egyptian Informatics JournalPrognostics and health management (PHM) plays a critical role in ensuring the reliability and safety of complex engineering systems such as aircraft engines.
Mahmut Sami Şaşmaztürk, Ferhat Yuna
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e-RULENet: remaining useful life estimation with end-to-end learning from long run-to-failure data
SICE Journal of Control, Measurement, and System Integration, 2023 This paper presents the e-RULENet, which is a novel framework to train a data-driven model for remaining useful life estimation from long run-to-failure data with an end-to-end manner.
Masanao Natsumeda
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Remaining Useful Life Estimation of Electric Cables in Nuclear Power Plants
Chemical Engineering Transactions, 2013 Electric cables help form the backbone of instrumentation and control (I&C) systems in nuclear power plants by providing power to electrical equipment and transmission paths for instrumentation signals used to perform safety functions and control plant ...
B. Shumaker +4 more
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Remaining Useful Life Estimation for Underground Cable Systems Based on Historical Health Index
Energies, 2022 In this paper, a modeling method for estimating the remaining useful life (RUL) of aged underground cable systems is proposed that uses statistical health index (HI) and operating factor (OF) data of retired systems.
Tanachai Somsak +2 more
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Health Indicator Forecasting for Improving Remaining Useful Life Estimation [PDF]
2020 IEEE International Conference on Prognostics and Health Management (ICPHM), 2020 Prognostics is concerned with predicting the future health of the equipment and any potential failures. With the advances in the Internet of Things (IoT), data-driven approaches for prognostics that leverage the power of machine learning models are gaining popularity. One of the most important categories of data-driven approaches relies on a predefined
Qiyao Wang +3 more
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Model-Based Leakage Estimation and Remaining Useful Life Prediction of Control Gas Cylinder
International Journal of Aerospace Engineering, 2023 The high-pressure gas cylinder is the pressure source for liquid propellant engine valve control. Leakage is a significant cause of pressure loss in gas cylinders, leading to engine control failure and serious flight accidents.
Zhenzhen Zhang +3 more
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Remaining Useful Life Estimation of Critical Components With Application to Bearings [PDF]
IEEE Transactions on Reliability, 2012 Prognostics activity deals with the estimation of the Remaining Useful Life (RUL) of physical systems based on their current health state and their future operating conditions. RUL estimation can be done by using two main approaches, namely model-based and data-driven approaches.
Medjaher, Kamal +2 more
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