A comprehensive review of digital twin—part 1: modeling and twinning enabling technologies
As an emerging technology in the era of Industry 4.0, digital twin is gaining unprecedented
attention because of its promise to further optimize process design, quality control, health …
attention because of its promise to further optimize process design, quality control, health …
Aircraft engine remaining useful life estimation via a double attention-based data-driven architecture
L Liu, X Song, Z Zhou - Reliability Engineering & System Safety, 2022 - Elsevier
Remaining useful life (RUL) estimation has been intensively studied, given its important role
in prognostics and health management (PHM) of industry. Recently, data-driven structures …
in prognostics and health management (PHM) of industry. Recently, data-driven structures …
A BiGRU autoencoder remaining useful life prediction scheme with attention mechanism and skip connection
Y Duan, H Li, M He, D Zhao - IEEE Sensors Journal, 2021 - ieeexplore.ieee.org
Remaining Useful Life (RUL) prediction is one of the most common activities to ensure the
reliability of a degradation system. In previous RUL prediction schemes based on RNN …
reliability of a degradation system. In previous RUL prediction schemes based on RNN …
Prognostics for the sustainability of industrial cyber-physical systems: From an artificial intelligence perspective
As industrial cyber-physical systems (ICPS) play an increasingly pivotal role in the new
industrial paradigm, their sustainability has become the current research focus. Remaining …
industrial paradigm, their sustainability has become the current research focus. Remaining …
Rolling bearing remaining useful life prediction based on dilated causal convolutional DenseNet and an exponential model
W Ding, J Li, W Mao, Z Meng, Z Shen - Reliability Engineering & System …, 2023 - Elsevier
Accurate prediction of the remaining useful life (RUL) of rolling bearings is important to
ensure the safe operation of mechanical system and to formulate maintenance strategies …
ensure the safe operation of mechanical system and to formulate maintenance strategies …
Battery health prognosis with gated recurrent unit neural networks and hidden Markov model considering uncertainty quantification
With the widespread use of lithium-ion batteries in various fields, battery failures become the
most critical concerns that may lead to enormous economic losses and even serious safety …
most critical concerns that may lead to enormous economic losses and even serious safety …
A KPCA-BRANN based data-driven approach to model corrosion degradation of subsea oil pipelines
X Li, R Jia, R Zhang, S Yang, G Chen - Reliability Engineering & System …, 2022 - Elsevier
Corrosion is an important reason for the structural degradation of offshore oil pipelines,
which may cause serious economic loss and environmental pollution. Nowadays the …
which may cause serious economic loss and environmental pollution. Nowadays the …
[HTML][HTML] A wind turbine blade leading edge rain erosion computational framework
Blades are one of the most important components, in terms of capital and operational costs,
of wind turbines. The experienced acquired by the industry in the latest decades has shown …
of wind turbines. The experienced acquired by the industry in the latest decades has shown …
Remaining useful life prediction for degradation with recovery phenomenon based on uncertain process
SJ Zhang, R Kang, YH Lin - Reliability Engineering & System Safety, 2021 - Elsevier
Remaining useful life prediction based on degradation modeling is of great importance to
condition-based maintenance, for which epistemic uncertainty due to the lack of sufficient …
condition-based maintenance, for which epistemic uncertainty due to the lack of sufficient …
Nonlinear degradation modeling and prognostics: A Box-Cox transformation perspective
Transforming nonlinear degradation paths into nearly linear ones has been widely used for
nonlinear degradation modeling and prognostics. However, types of the current …
nonlinear degradation modeling and prognostics. However, types of the current …