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Remaining useful life Prediction of air spring
2019 IEEE International Conference on Prognostics and Health Management (ICPHM), 2019The remaining useful life estimation is an important function of an efficient prognostics and health management (PHM) system and can be used preventively to replace the component with the aim of avoiding a breakdown. The prediction of remaining life time of the air spring as one of the critical component of truck is the main goal of this research.
Farzaneh Ahmadzadeh +2 more
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Remaining Useful Life Estimation for LFP Cells in Second-Life Applications
IEEE Transactions on Instrumentation and Measurement, 2021The increasing deployment of battery storage applications in both grid storage and electric vehicle fields is generating a vast used battery market. These batteries are typically recycled but could be reused in second-life applications. One of the challenges is to obtain an accurate remaining useful life (RUL) estimation algorithm, which determines ...
Iván Sanz-Gorrachategui +7 more
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Overview of Remaining Useful Life Methodologies
Volume 3: 28th Computers and Information in Engineering Conference, Parts A and B, 2008Nowadays, it is imperative for products to function properly each time they are used. If a product fails during its use, it may have disastrous consequences. Estimating remaining useful life (RUL) of a product is a key to prevent such disasters, improve its reliability, provide security and reduce maintenance and operational cost. Naturally, estimation
Yogesh G. Bagul +2 more
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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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