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Publications:Stacked Ensemble of Recurrent Neural Networks for Predicting Turbocharger Remaining Useful Life
Abstract <p>Predictive Maintenance (PM) is a <p>Predictive Maintenance (PM) is a proactive maintenance strategy that tries to minimize a system’s downtime by predicting failures before they happen. It uses data from sensors to measure the component’s state of health and make forecasts about its future degradation. However, existing PM methods typically focus on individual measurements. While it is natural to assume that a history of measurements carries more information than a single one. This paper aims at incorporating such information into PM models. In practice, especially in the automotive domain, diagnostic models have low performance, due to a large amount of noise in the data and limited sensing capability. To address this issue, this paper proposes to use a specific type of ensemble learning known as Stacked Ensemble. The idea is to aggregate predictions of multiple models—consisting of Long Short-Term Memory (LSTM) and Convolutional-LSTM—via a meta model, in order to boost performance. Stacked Ensemble model performs well when its base models are as diverse as possible. To this end, each such model is trained using a specific combination of the following three aspects: feature subsets, past dependency horizon, and model architectures. Experimental results demonstrate benefits of the proposed approach on a case study of heavy-duty truck turbochargers.</p> heavy-duty truck turbochargers.</p>
Author Peyman Sheikholharam Mashhadi + , Sławomir Nowaczyk + , Sepideh Pashami +
DOI http://dx.doi.org/10.3390/app10010069  +
Diva http://hh.diva-portal.org/smash/record.jsf?searchId=1&pid=diva2:1381884
Issue 1  +
Journal Applied Sciences  +
Projects HEALTH-VINNOVA +
PublicationType Journal Paper  +
Title Stacked Ensemble of Recurrent Neural Networks for Predicting Turbocharger Remaining Useful Life  +
Volume 10  +
Year 2019  +
Has queryThis property is a special property in this wiki. Publications:Stacked Ensemble of Recurrent Neural Networks for Predicting Turbocharger Remaining Useful Life + , Publications:Stacked Ensemble of Recurrent Neural Networks for Predicting Turbocharger Remaining Useful Life + , Publications:Stacked Ensemble of Recurrent Neural Networks for Predicting Turbocharger Remaining Useful Life + , Publications:Stacked Ensemble of Recurrent Neural Networks for Predicting Turbocharger Remaining Useful Life + , Publications:Stacked Ensemble of Recurrent Neural Networks for Predicting Turbocharger Remaining Useful Life + , Publications:Stacked Ensemble of Recurrent Neural Networks for Predicting Turbocharger Remaining Useful Life + , Publications:Stacked Ensemble of Recurrent Neural Networks for Predicting Turbocharger Remaining Useful Life + , Publications:Stacked Ensemble of Recurrent Neural Networks for Predicting Turbocharger Remaining Useful Life + , Publications:Stacked Ensemble of Recurrent Neural Networks for Predicting Turbocharger Remaining Useful Life + , Publications:Stacked Ensemble of Recurrent Neural Networks for Predicting Turbocharger Remaining Useful Life +
Categories Publication  +
Modification dateThis property is a special property in this wiki. 29 December 2019 21:23:17  +
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