Computational intelligence for preventive maintenance of power transformers

SY Wong, X Ye, F Guo, HH Goh - Applied Soft Computing, 2022 - Elsevier
Power transformers are an indispensable equipment in power transmission and distribution
systems, and failures or hidden defects in power transformers can cause operational and …

[HTML][HTML] The amber-colored liquid: A review on the color standards, methods of detection, issues and recommendations

MH Hasnul Hadi, PJ Ker, VA Thiviyanathan, SGH Tang… - Sensors, 2021 - mdpi.com
For most natural or naturally-derived liquid products, their color reflects on their quality and
occasionally affects customer preferences. To date, there are a few subjective and objective …

FT-Raman and NIR spectroscopy data fusion strategy for multivariate qualitative analysis of food fraud

C Márquez, MI López, I Ruisánchez, MP Callao - Talanta, 2016 - Elsevier
Two data fusion strategies (high-and mid-level) combined with a multivariate classification
approach (Soft Independent Modelling of Class Analogy, SIMCA) have been applied to take …

[HTML][HTML] Detection and characterisation of frauds in bovine meat in natura by non-meat ingredient additions using data fusion of chemical parameters and ATR-FTIR …

KM Nunes, MVO Andrade, AMP Santos Filho… - Food chemistry, 2016 - Elsevier
Concerns about meat authenticity are increasing recently, due to great fraud scandals. This
paper analysed real samples (43 adulterated and 12 controls) originated from criminal …

Thermal degradation assessment of Kraft paper in power transformers insulated with natural esters

I Fernández, F Delgado, F Ortiz, A Ortiz… - Applied Thermal …, 2016 - Elsevier
Kraft paper in combination with dielectric oil is the most common as insulation system used
in power transformers. The most used oil in power transformers is mineral oil. However …

[HTML][HTML] UV-vis spectroscopy: A new approach for assessing the color index of transformer insulating oil

YS Leong, PJ Ker, MZ Jamaludin, S M. Nomanbhay… - Sensors, 2018 - mdpi.com
Monitoring the condition of transformer oil is considered to be one of the preventive
maintenance measures and it is very critical in ensuring the safety as well as optimal …

Multivariate regression models obtained from near-infrared spectroscopy data for prediction of the physical properties of biodiesel and its blends

CL Cunha, AR Torres, AS Luna - Fuel, 2020 - Elsevier
Multivariate calibration based on Partial Least Squares (PLS), Random Forest (RF) and
Support Vector Machine (SVM) methods combined with variable selections tools were used …

[HTML][HTML] Data fusion of UPLC data, NIR spectra and physicochemical parameters with chemometrics as an alternative to evaluating kombucha fermentation

CD Barbosa, MR Baqueta, WCR Santos, D Gomes… - Lwt, 2020 - Elsevier
Kombucha consumption has become popular due to health benefits and sensorial
properties. Different analytical techniques were associated with unsupervised chemometrics …

[HTML][HTML] Diagnosis of lung cancer by FTIR spectroscopy combined with Raman spectroscopy based on data fusion and wavelet transform

X Yang, Z Wu, Q Ou, K Qian, L Jiang, W Yang… - Frontiers in …, 2022 - frontiersin.org
Lung cancer is a fatal tumor threatening human health. It is of great significance to explore a
diagnostic method with wide application range, high specificity, and high sensitivity for the …

Genetic algorithm based artificial neural network and partial least squares regression methods to predict of breakdown voltage for transformer oils samples in power …

S Zandbaaf, MRK Khorrami, MG Afshar - Spectrochimica Acta Part A …, 2022 - Elsevier
The current study proposes a novel analytical method for calculating the breakdown voltage
(BV) of transformer oil samples considered as a significant method to assess the safe …