Experimental Characterization of Chemical Properties of Engine Oil Using Localized Surface Plasmon Resonance Sensing

Heredia-Cancino, J.A.; Carrillo-Torres, R. C.; Félix-Domínguez, F.; Álvarez-Ramos, M. E.

doi:10.3390/app11188518

Cited by 6 publications

(4 citation statements)

References 24 publications

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“…A more commonly used method for this purpose is the correlation coefficient between the features [8]. This method also has disadvantages related to the type and volume of data used [9].…”

Section: Methods Used For the Selection Of Informative Color Featuresmentioning

confidence: 99%

Determination of the parameter color of fresh engine oils by color indices and predictive models

Ivanova-Vasileva,

Zlatev,

Georgieva

et al. 2023

MATEC Web Conf.

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Color prediction tools for motor oils, which can be used to assess their quality are presented in the paper. Three measuring devices working on optical principle for color prediction was used and compared. Color models and color index are defined by RGB, Lab and LCh color components. It was found that the combined use of seven color indices leads to an increase in accuracy for predicting the value characteristics of motor oils.. The obtained results demonstrate that the algorithm used for the analysis of color characteristics of motor lubricating oils allowed the creation of adequate regression models. The proposed research tools can be used in practice, which enables a quick assessment of the quality of motor oils based on the parameter color.

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“…A more commonly used method for this purpose is the correlation coefficient between the features [8]. This method also has disadvantages related to the type and volume of data used [9].…”

Section: Methods Used For the Selection Of Informative Color Featuresmentioning

confidence: 99%

Determination of the parameter color of fresh engine oils by color indices and predictive models

Ivanova-Vasileva,

Zlatev,

Georgieva

et al. 2023

MATEC Web Conf.

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“…Spectrophotometric instruments operating on the principle of light transmission have been proposed for determining the color of a transformer Hadi et al [3] and Heredia-Cancino et al [11], whose accuracy reaches 99%. An advantage of the method, proposed in the present work for determining the color of the oil, is its accuracy of 84% and the lack of necessity of specialized equipment and cuvettes.…”

Section: Figure 1 Selection Of Informative Color Indicesmentioning

confidence: 99%

Determining the Main Characteristics of Motor Lubricants Using Color Indices and Prediction Models

Zlatev¹,

Ivanova-Vasileva²,

Georgieva³

et al. 2022

TEM Journal

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This paper proposes tools for predicting the main characteristics of motor lubricating oils that can be used to assess their quality. A comparative analysis of four measuring devices, operating on optical principle, was performed to predict the main characteristics of motor lubricating oils. It has been found that the combined use of seven color indices leads to increased accuracy in predicting the value characteristics of motor oils. The two main components are needed to reduce the data volume of the vector containing these features, which leads to a reduction in the volume of data used. It was found that according to colorimeter data, regression models have higher predictive properties than those obtained with a video camera and a digital camera. The proposed research tools can be used with single-board microcomputer systems, which do not require complex computational procedures. The use of the proposed in this article techniques and tools in practice would reduce the effect of the measuring instrument experience.

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“…[28][29][30]. A different approach was proposed by Heredia-Cancino et al [31], who developed a sensor based on the position of the localized surface plasmon resonance (LSPR) of a band of silver nanoparticles (AgNP) synthesized by laser-assisted photoreduction. This plasmonic sensor can detect changes in the permittivity of the oil caused by the modification of the chemical properties of the lubricant.…”

Section: Introductionmentioning

confidence: 99%

Electrical Parameters as Diagnostics of Fresh Engine Oil Condition—Correlation with Test Voltage Frequency

Wolak

Żywica

Molenda

et al. 2023

Sensors

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The aim of this study was to assess whether electrical parameters (capacitance and conductivity) of fresh engine oils—tested over a wide range of measurement voltage frequencies—can be used for oil quality assessment and its identification, based on physicochemical properties. The study encompassed 41 commercial engine oils with different quality ratings (American Petroleum Institute (API) and European Automobile Manufacturers’ Association (ACEA)). As part of the study, the oils were tested for their total base number (TBN) and total acid number (TAN), as well as their electrical parameters, including impedance magnitude, phase shift angle, conductance, susceptance, capacitance and quality factor. Next, the results for all of the samples were examined for correlations between the mean electrical parameters and the test voltage frequency. A statistical analysis (k-means and agglomerative hierarchical clustering) was applied to group oils with similar readings, drawing on the values for all electrical parameters to produce group oils with the highest similarity to each other into clusters. The results show that the electrical-based diagnostics of fresh engine oils can serve as a highly selective method for identifying oil quality, offering much higher resolution than assessments based on the TBN or the TAN. This is further supported by the cluster analysis, with five clusters generated for electrical parameters of the oils, compared to only three generated for TAN- and TBN-based measurements. Out of all the tested electrical parameters, capacitance, impedance magnitude and quality factor were found to be the most promising for diagnostic purposes. The value of electrical parameters of fresh engine oils is mostly dependent on the test voltage frequency (with the exception of capacitance). The correlations identified in the course of the study can be used to select for those frequency ranges that offer the highest diagnostic utility.

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Experimental Characterization of Chemical Properties of Engine Oil Using Localized Surface Plasmon Resonance Sensing

Cited by 6 publications

References 24 publications

Determination of the parameter color of fresh engine oils by color indices and predictive models

Determination of the parameter color of fresh engine oils by color indices and predictive models

Determining the Main Characteristics of Motor Lubricants Using Color Indices and Prediction Models

Electrical Parameters as Diagnostics of Fresh Engine Oil Condition—Correlation with Test Voltage Frequency

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