Similarity-Based Remaining Useful Lifetime Prediction Method Considering Epistemic Uncertainty [PDF]
Sensors, 2023 Measuring the similarity between two trajectories is fundamental and essential for the similarity-based remaining useful life (RUL) prediction. Most previous methods do not adequately account for the epistemic uncertainty caused by asynchronous sampling,
Wenbo Wu +4 more
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Using temporal convolution network for remaining useful lifetime prediction [PDF]
Engineering Reports, 2021 Because Convolutional Neural Network (CNN) can extract spatial feature, while Long ShortâTerm Memory (LSTM) can learn temporal features, many methods combining CNN with LSTM are proposed for remaining useful lifetime prediction. In practice, it is better
Danjiang Chen, Jungan Chen
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CONFORMAL PREDICTION INTERVALS FOR REMAINING USEFUL LIFETIME ESTIMATION [PDF]
International Journal of Prognostics and Health Management, 2023 The main objective of Prognostics and Health Management is to estimate the Remaining Useful Lifetime (RUL), namely, the time that a system or a piece of equipment is still in working order before starting to function incorrectly.
Alireza Javanmardi , Eyke Hullermeier
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Remaining useful lifetime prediction via deep domain adaptation [PDF]
Reliability Engineering and System Safety, 2020 In Prognostics and Health Management (PHM) sufficient prior observed degradation data is usually critical for Remaining Useful Lifetime (RUL) prediction. Most previous data-driven prediction methods assume that training (source) and testing (target) condition monitoring data have similar distributions.
Uzay Kaymak +2 more
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Integration of Expert Judgment into Remaining Useful Lifetime Prediction of Components [PDF]
Procedia CIRP, 2014 AbstractAccurate estimates of renewal instances are necessary to avoid both machine breakdowns as well as unnecessary replacements. These instances are based upon a prognosis of the remaining useful lifetime of the components investigated but their usability is limited because of insufficient failure time data.
Kirsten Tracht, Hendrik Stern
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Remaining Useful Lifetime Prediction Based on Extended Kalman Particle Filter for Power SiC MOSFETs [PDF]
Micromachines, 2023 Nowadays, the performance of silicon-based devices is almost approaching the physical limit of their materials, which have difficulty meeting the needs of modern high-power applications.
Wei Wu +4 more
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A Critical Review of Online Battery Remaining Useful Lifetime Prediction Methods [PDF]
Frontiers in Mechanical Engineering, 2021 Lithium-ion batteries play an important role in our daily lives. The prediction of the remaining service life of lithium-ion batteries has become an important issue.
Shunli Wang +4 more
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Machine learning- assisted remaining useful lifetime prediction of power electronic converters [PDF]
Scientific ReportsThis paper presents a methodology for the remaining useful life (RUL) prediction in power electronic converters based on the health monitoring of semiconductor devices and DC capacitor(s).
Hussain Sayed, Harish S. Krishnamoorthy
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IEEE Access, 2022 Existing joint maintenance decision research typically ignores remaining useful lifetime (RUL) predictions for the accelerated degradation of equipment.
Dingyuan Xue, Zezhou Wang, Yunxiang Chen
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Domain adaptation via alignment of operation profile for Remaining Useful Lifetime prediction
Reliability Engineering and System Safety18 pages,11 ...
Mengjie Zhao +2 more
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