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Problems of Predicting the Remaining Useful Life
2020 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (EIConRus), 2020As the title implies the article, describes some difficulties that appear during the usage process of any technical equipment. It is spoken in detail about the remaining useful life. Different common ways to estimate are described in short. The author attempt made to analyze the Turbofan Engine Degradation Simulation data set.
Alena A. Rozhkovskaya, Igor O. Sychev
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Remaining useful life estimation with multiple local similarities
Engineering Applications of Artificial Intelligence, 2020Abstract In prognostics and health management (PHM), remaining useful life (RUL) estimation has become a major focus for guaranteeing the safety and reliability of systems. Similarity-based RUL estimation methods, which predict a system’s RUL based on the RULs of other systems with similar degradation behaviors, have been proven effective when no or ...
Jianhua Lyu +3 more
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Calculating Remaining Useful Life of Ships
Offshore Technology Conference, 1992ABSTRACT Recent developments of engineering analysis methods enable useful forecasts of physical life of ship hull structures, piping, and machinery. Economic analyses of the costs of rehabilitation and increasing maintenance costs can demonstrate that the useful life of tankers can be extended many years at ...
G.A. Egan, B.V. Andrews
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Remaining useful life in theory and practice
Metrika, 2008zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Remaining Useful Life as Prognostic Approach: A Review
2018Prognostics is the process of predicting a lifetime point when a system or its component is not able to complete its proposed function. The time from the current time to the time of a failure is recognized as Remaining Useful Life (RUL). Such predictions are typically done with the application of model-based, data-driven, and hybrid-based approaches ...
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Remaining Useful Life Prognosis with Applications
Middle East Oil, Gas and Geosciences Show (MEOS GEO)Abstract Remaining Useful Life (RUL) prediction is central to maintenance planning in the manufacturing sector. It refers to the study of when some specified equipment or system is likely to fail, based on its current operating characteristics and therefore allows engineers to schedule maintenance, avoid unplanned disruptions and ...
Camila Castillo +3 more
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QUANTILE-BASED LSTM REMAINING USEFUL LIFE PREDICTOR
2021Accurate prediction of the remaining useful life (RUL) of a degrading component is crucial to prognostics and health management for electronic systems, to monitor conditions and avoid reaching failure while minimizing downtime. However, the shortage of sufficiently large run-to-failure datasets is a serious bottleneck impeding the performance of data ...
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High Performance Remaining Useful Life Prediction for Gearbox
2018 IEEE International Conference on Prognostics and Health Management (ICPHM), 2018Gearbox failure prediction is important for many applications. We present four approaches for predicting the remaining useful life of gearboxes. The first one is rule-based and the second one is a combination of damage curve approach and rule-based approach.
Bulent Ayhan +2 more
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Bidirectional handshaking LSTM for remaining useful life prediction
Neurocomputing, 2019Abstract Unpredictable failures and unscheduled maintenance of physical systems increases production resources, produces more harmful waste for the environment, and increases system life cycle costs. Efficient remaining useful life (RUL) estimation can alleviate such an issue.
Ahmed Elsheikh +2 more
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Remaining Useful Life Prediction Based on Spatiotemporal Autoencoder
SSRN Electronic Journal, 2022Tao Xu, Dechang Pi, Shi Zeng
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