Remaining useful life prediction of crude oil pipeline by means of deterioration curves
Sign Up to like & getrecommendations! Published in 2019 at "Process Safety Progress"
DOI: 10.1002/prs.12112
Abstract: Pipelines sometimes generate different kinds of environmental damages which are irreparable and hazardous due to various reasons such as natural hazards, external loads, and corrosion. Many soft computational methods have been introduced to assess the… read more here.
Keywords: pipeline; useful life; oil pipeline; remaining useful ... See more keywords
Remaining useful life predictions for turbofan engine degradation based on concurrent semi-supervised model
Sign Up to like & getrecommendations! Published in 2021 at "Neural Computing and Applications"
DOI: 10.1007/s00521-021-06089-1
Abstract: As a crucial and expensive component of the aircraft, it is important to effectively predict its remaining useful life (RUL) so as to reduce maintenance costs and improve maintenance strategies. In this paper, a novel… read more here.
Keywords: useful life; semi supervised; supervised model; remaining useful ... See more keywords
A novel approach for bearing remaining useful life estimation under neither failure nor suspension histories condition
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Intelligent Manufacturing"
DOI: 10.1007/s10845-015-1077-x
Abstract: Remaining useful life prediction methods are extensively researched based on failure or suspension histories. However, for some applications, failure or suspension histories are hard to obtain due to high reliability requirement or expensive experiment cost.… read more here.
Keywords: failure suspension; suspension histories; prediction; remaining useful ... See more keywords
Multiple failure behaviors identification and remaining useful life prediction of ball bearings
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Intelligent Manufacturing"
DOI: 10.1007/s10845-017-1357-8
Abstract: Accurate remaining useful life (RUL) prediction is the key for successful implementation of condition based maintenance program in any industry. Data driven prognostics approaches are generally used to predict the RUL of the components. Presence… read more here.
Keywords: failure; multiple failure; life; prediction ... See more keywords
Remaining useful life prediction for multi-component systems with hidden dependencies
Sign Up to like & getrecommendations! Published in 2018 at "Science China Information Sciences"
DOI: 10.1007/s11432-017-9347-5
Abstract: How can we predict the remaining useful life (RUL) of a dynamic system subject to multiple dependent degradations? Is it possible to address the above problem when the degradation information is obtained indirectly? According to… read more here.
Keywords: life prediction; prediction multi; useful life; remaining useful ... See more keywords
Prediction of remaining useful life under different conditions using accelerated life testing data
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Mechanical Science and Technology"
DOI: 10.1007/s12206-018-0507-z
Abstract: Prognostics methods model the degradation of system performance and predict remaining useful life using degradation data measured during service. However, obtaining degradation data from in-service systems in practice is either difficult or expensive. Therefore, accelerated… read more here.
Keywords: degradation; life testing; useful life; accelerated life ... See more keywords
Remaining useful life estimation for proton exchange membrane fuel cells using a hybrid method
Sign Up to like & getrecommendations! Published in 2019 at "Applied Energy"
DOI: 10.1016/j.apenergy.2019.01.023
Abstract: Abstract This paper proposes a complete hybrid prognostics method which can predict the degradation trend and estimate the remaining useful life of proton exchange membrane fuel cells (PEMFCs) under different current loads. The proposed hybrid… read more here.
Keywords: degradation; useful life; remaining useful; life estimation ... See more keywords
Early and robust remaining useful life prediction of supercapacitors using BOHB optimized Deep Belief Network
Sign Up to like & getrecommendations! Published in 2021 at "Applied Energy"
DOI: 10.1016/j.apenergy.2021.116541
Abstract: Abstract The lifespan, power density, and transient response make supercapacitors a component of choice for the electric vehicle and renewable energy industry. Supercapacitors’ long lifecycle often makes it difficult for designers to assess the system’s… read more here.
Keywords: useful life; belief network; deep belief; prediction ... See more keywords
A data-driven probabilistic framework towards the in-situ prognostics of fatigue life of composites based on acoustic emission data
Sign Up to like & getrecommendations! Published in 2017 at "Composite Structures"
DOI: 10.1016/j.compstruct.2016.10.109
Abstract: Abstract An innovative prognostic data-driven framework is proposed to deal with the real-time estimation of the remaining useful life of composite materials under fatigue loading based on acoustic emission data and a sophisticated multi-state degradation… read more here.
Keywords: emission data; data driven; acoustic emission; remaining useful ... See more keywords
A critical review of improved deep learning methods for the remaining useful life prediction of lithium-ion batteries
Sign Up to like & getrecommendations! Published in 2021 at "Energy Reports"
DOI: 10.1016/j.egyr.2021.08.182
Abstract: As widely used for secondary energy storage, lithium-ion batteries have become the core component of the power supply system and accurate remaining useful life prediction is the key to ensure its reliability. Because of the… read more here.
Keywords: useful life; remaining useful; life prediction; prediction ... See more keywords
Remaining useful life prediction of lithium-ion batteries based on stacked autoencoder and gaussian mixture regression
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Energy Storage"
DOI: 10.1016/j.est.2021.103558
Abstract: Abstract Lithium-ion batteries have been widely applied in energy storage systems and electric vehicles (EVs), the remaining useful life (RUL) prediction is one of the critical technologies for prognostics and health management. However, high accuracy… read more here.
Keywords: rul prediction; lithium ion; remaining useful; useful life ... See more keywords