Review on evolution of intelligent algorithms for transformer condition assessment
Transformers are playing an increasingly significant part in energy conversion, transmission,
and distribution, which link various resources, including conventional, renewable, and …
and distribution, which link various resources, including conventional, renewable, and …
Predictive modeling of compressive strength of sustainable rice husk ash concrete: Ensemble learner optimization and comparison
One of the largest sources of greenhouse gas (GHG) emissions is the construction concrete
industry which has alone 50% of the world's emissions. One possible remedy to mitigate the …
industry which has alone 50% of the world's emissions. One possible remedy to mitigate the …
Stochastic model reduction for polynomial chaos expansion of acoustic waves using proper orthogonal decomposition
N El Moçayd, MS Mohamed, D Ouazar… - Reliability Engineering & …, 2020 - Elsevier
We propose a non-intrusive stochastic model reduction method for polynomial chaos
representation of acoustic problems using proper orthogonal decomposition. The random …
representation of acoustic problems using proper orthogonal decomposition. The random …
Polygonal Coordinate System: Visualizing high-dimensional data using geometric DR, and a deterministic version of t-SNE
Dimensionality Reduction (DR) is useful to understand high-dimensional data. It attracts
wide attention from industry and academia and is employed in areas such as machine …
wide attention from industry and academia and is employed in areas such as machine …
An approach on lifetime estimation of distribution transformers based on degree of polymerization
M Ariannik, AA Razi-Kazemi, M Lehtonen - Reliability Engineering & …, 2020 - Elsevier
Lifetime of oil-immersed transformers is highly dependent on condition of paper insulation.
This contribution is aimed to quantify the deterioration and ageing process of the paper …
This contribution is aimed to quantify the deterioration and ageing process of the paper …
Surface-enhanced Raman spectroscopy combined with chemometrics for quantitative analysis and carcinogenic risk estimation of polycyclic aromatic hydrocarbons in …
R Zhang, M Guo, M Li, H Tang, T Zhang, H Li - … and Intelligent Laboratory …, 2025 - Elsevier
Polycyclic aromatic hydrocarbons (PAHs) as a kind of persistent organic pollutants have
high teratogenic, carcinogenic, mutagenic properties, as well as high octanol/water partition …
high teratogenic, carcinogenic, mutagenic properties, as well as high octanol/water partition …
Non-intrusive polynomial chaos methods for uncertainty quantification in wave problems at high frequencies
Numerical solutions of wave problems are often influenced by uncertainties generated by a
lack of knowledge of the input values related to the domain data and/or boundary conditions …
lack of knowledge of the input values related to the domain data and/or boundary conditions …
Determining the reliability of power transformers considering a five states Markov Model
SC Freitag, M Sperandio - IEEE Latin America Transactions, 2021 - ieeexplore.ieee.org
This paper presents a methodology to calculate power transformers reliability indicators
using a five state Markov model, which contemplates the probabilities of failure …
using a five state Markov model, which contemplates the probabilities of failure …
High-Precision Surrogate Modeling for Uncertainty Quantification in Complex Slurry Flows
Slurry transportation via pipelines is essential for global industries, offering efficiency and
environmental benefits. Specifically, the precise calibration of physical parameters for …
environmental benefits. Specifically, the precise calibration of physical parameters for …