Results 11 to 20 of about 9,948,079 (293)
Shapelet-based remaining useful life estimation [PDF]
2014 IEEE International Conference on Automation Science and Engineering (CASE), 2014 In the Prognostics and Health Management domain, estimating the remaining useful life (RUL) of critical machinery is a challenging task. Various research topics as data acquisition and processing, fusion, diagnostics, prognostivs and decision are involved in this domain.
Simon Malinowski +2 more
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Remaining useful life estimation: review
International Journal of System Assurance Engineering and Management, 2013 This paper reviews the recent modelling developments in estimating the remaining useful life (RUL) of industrial systems. The RUL estimation models are categorized into experimental, data driven, physics based and hybrid approaches. The paper reviews some typical approaches and discusses their advantages and disadvantages.
Farzaneh Ahmadzadeh, Jan Lundberg
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Remaining Useful Life Estimation In the Presence of Given Shocks [PDF]
International Journal of Industrial Engineering and Production Research, 2022 In a system, prediction of remaining useful lifetime (RUL) of servicing before reaching to a specified breakdown threshold is a very important practical issue, and research in this field is still regarded as an appreciated research gap.
Mehrnaz Piroozbakht +3 more
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Remaining useful life, technical health, and life extension
Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, 2011 Life extension has for a long time been an important and highly discussed issue in nuclear and aviation industries, and has recently attracted considerable attention in the subsea oil and gas industry. Decision-making related to life extension is a multidisciplinary problem, but it primarily depends on the remaining useful life.
P Vaidya, M Rausand
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Genetically optimized prediction of remaining useful life [PDF]
Sustainable Computing: Informatics and Systems, 2021 The application of remaining useful life (RUL) prediction has taken great importance in terms of energy optimization, cost-effectiveness, and risk mitigation. The existing RUL prediction algorithms mostly constitute deep learning frameworks. In this paper, we implement LSTM and GRU models and compare the obtained results with a proposed genetically ...
Shaashwat Agrawal +4 more
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Prediction of the Remaining Useful Life of Supercapacitors
Mathematical Problems in Engineering, 2022 As a new type of energy-storage device, supercapacitors are widely used in various energy storage fields because of their advantages such as fast charging and discharging, high power density, wide operating temperature range, and long cycle life. However, the degradation and failure of supercapacitors in large-scale applications will adversely affect ...
Zhenxiao Yi +5 more
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Prognostics for electronics components of avionics - NASA IGBT accelerated ageing case study [PDF]
, 2013 Insulate gate bipolar transistors (IGBTs) are widely used in electric vehicles, railway locomotive and new generation aircrafts, due to the IGBTs have advantages in small conduction resistance and small drive current.
Xie, Yuan'an
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Uncertainty-aware Remaining Useful Life predictor
CoRR, 2021 Remaining Useful Life (RUL) estimation is the problem of inferring how long a certain industrial asset can be expected to operate within its defined specifications. Deploying successful RUL prediction methods in real-life applications is a prerequisite for the design of intelligent maintenance strategies with the potential of drastically reducing ...
Luca Biggio +4 more
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A Hybrid Prognostic Methodology and its Application to Well-Controlled Engineering Systems [PDF]
, 2015 This thesis presents a novel hybrid prognostic methodology, integrating physics-based and data-driven prognostic models, to enhance the prognostic accuracy, robustness, and applicability.
Eker, Ömer Faruk
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Interaction models for remaining useful life estimation
CoRR, 2023 submitted to Journal of Industrial Information ...
Dmitry Zhevnenko +2 more
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