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We propose a novel sequence-to-sequence prediction approach for the estimation of the remaining useful lifetime (RUL) of technical components. The approach is based on deep recurrent neural network structures, namely bidirectional Long Short Term Memory (
Sayed Rafay Bin Shah +3 more
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RMS Based Health Indicators for Remaining Useful Lifetime Estimation of Bearings [PDF]
Estimating the remaining useful life (RUL) of bearings from healthy to faulty is important for predictive maintenance. The bearing fault severity can be estimated based on the energy or root mean square (RMS) of vibration signals, and a stopping ...
Andreas Klausen +2 more
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Shared Temporal Attention Transformer for Remaining Useful Lifetime Estimation
This paper proposes a novel deep learning architecture for estimating the remaining useful lifetime (RUL) of industrial components, which solely relies on the recently developed transformer architectures.
Gavneet Singh Chadha +3 more
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Similarity-Based Remaining Useful Lifetime Prediction Method Considering Epistemic Uncertainty
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
Because Convolutional Neural Network (CNN) can extract spatial feature, while Long Short‐Term Memory (LSTM) can learn temporal features, many methods combining CNN with LSTM are proposed for remaining useful lifetime prediction. In practice, it is better
Jungan Chen, Danjiang Chen, Gaoping Liu
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Improving Semi-Supervised Learning for Remaining Useful Lifetime Estimation Through Self-Supervision
RUL estimation plays a vital role in effectively scheduling maintenance operations. Unfortunately, it suffers from a severe data imbalance where data from machines near their end of life is rare.
Tilman Krokotsch +2 more
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A Critical Review of Online Battery Remaining Useful Lifetime Prediction Methods
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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Tractor Lifetime Assessment Analysis
In this paper, two different approaches in analyzing the tractor lifetime assessment are presented. The first one is based on reliability theory and the other one is based on the relevant experience that was implemented in the ASABE standards.
Zoran Mileusnić +4 more
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CONFORMAL PREDICTION INTERVALS FOR REMAINING USEFUL LIFETIME ESTIMATION
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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Energy-Balanced Routing Algorithm Based on Ant Colony Optimization for Mobile Ad Hoc Networks
The mobile ad hoc network (MANET) is a multi-hop, non-central network composed of mobile terminals with self-organizing features. Aiming at the problem of extra energy consumption caused by node motion in MANETs, this paper proposes an improved energy ...
Dong Yang +4 more
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