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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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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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Adaptive Remaining Useful Life Prediction Algorithm for Bearings
2018 IEEE International Conference on Prognostics and Health Management (ICPHM), 2018It is well known that the lifetime of bearings varies a lot even if the bearings are manufactured in the same assembly line. This is because the exposed operating conditions may be very different for each bearing. As a result, an adaptive remaining lifetime prediction algorithm is a more natural choice and is expected to be more accurate than the non ...
Bulent Ayhan +2 more
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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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Remaining Useful Life estimation for MEMS-based transducers
2024 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)The use of MEMS-based measurement systems is experiencing great pervasiveness. This is mainly due to the small size that allows for a small footprint and use in previously impossible locations. For these reasons, they are also used in the medical field, within the Human Activity Recognition field, for trials and early diagnosis of diseases such as ...
Carratu' M. +6 more
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A Diagnostic System for Remaining Useful Life of Ball Bearings
2019This document describes estimation and approximation process of bearings Remaining Useful Life from 2012 Data Challenge. Data were received with the help of PRONOSTIA Platform, constructed for the needs of IEEE Data Challenge. This paper shows different methods of data processing to approximate Remaining Useful Life, which is very important in ...
Bogdan Lipiec, Marcin Witczak
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On the distribution of the remaining useful life
Mechanical Systems and Signal Processing, 2007Saralees Nadarajah, Samuel Kotz
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State-of-charge estimation and remaining useful life prediction of supercapacitors
Renewable and Sustainable Energy Reviews, 2021Qiang Li, Kai Wang
exaly
Remaining Useful Life Prediction Based on Spatiotemporal Autoencoder
SSRN Electronic Journal, 2022Tao Xu, Dechang Pi, Shi Zeng
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