Color Index of Transformer Oil: A Low-Cost Measurement Approach Using Ultraviolet-Blue Laser

Hadi, Muhamad Haziq Hasnul; Ker, Pin Jern; Lee, Hui Jing; Leong, Yang Sing; Hannan, M. A.; Jamaludin, M. Z.; Mahdi, Mohd Adzir

doi:10.3390/s21217292

Cited by 5 publications

(4 citation statements)

References 40 publications

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“…The following methods [10], were used to select characteristics describing the motor lubricating oils: SFCPP, FSNCA and FSNCA. The predictive ability of the obtained feature vectors was checked with the PCR and PLSR methods [2]. A second-order polynomial model [11] was used, through which the main characteristics of motor oils were predicted.…”

Section: Methods Used For the Selection Of Informative Color Featuresmentioning

confidence: 99%

“…The main stage in the development of recognition systems operating on an optical principle is the assessment of the separable motor oils from each other through various features that describe them [2]. It is also possible to predict various characteristics of oils that are usually determined in laboratory conditions and require specific hardware and trained personnel to use it [3].…”

Section: Introductionmentioning

confidence: 99%

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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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Section: Methods Used For the Selection Of Informative Color Featuresmentioning

confidence: 99%

Section: Introductionmentioning

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.

View full text Add to dashboard Cite

show abstract

“…Over the years, several methods have been proposed in the literature for color measurements, such as colorimeter usage [ 8 , 9 ], spectrophotometer usage [ 10 , 11 ] sensor-based methods [ 2 , 12 ], a color comparator method, and image analysis [ 5 ]. In most cases, samples need to be collected and analyzed in a laboratory before knowing the result.…”

Section: Introductionmentioning

confidence: 99%

A Neural Network-Based Model for Predicting Saybolt Color of Petroleum Products

Salehuddin

Omar

Ibrahim

et al. 2022

Sensors

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Saybolt color is a standard measurement scale used to determine the quality of petroleum products and the appropriate refinement process. However, the current color measurement methods are mostly laboratory-based, thereby consuming much time and being costly. Hence, we designed an automated model based on an artificial neural network to predict Saybolt color. The network has been built with five input variables, density, kinematic viscosity, sulfur content, cetane index, and total acid number; and one output, i.e., Saybolt color. Two backpropagation algorithms with different transfer functions and neurons number were tested. Mean absolute error (MAE), root mean square error (RMSE), and coefficient of determination (R2) were used to assess the performance of the developed model. Additionally, the results of the ANN model are compared with the multiple linear regression (MLR). The results demonstrate that the ANN with the Levenberg–Marquart algorithm, tangent sigmoid transfer function, and three neurons achieved the highest performance (R2 = 0.995, MAE = 1.000, and RMSE = 1.658) in predicting the Saybolt color. The ANN model appeared to be superior to MLR (R2 = 0.830). Hence, this shows the potential of the ANN model as an effective method with which to predict Saybolt color in real time.

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“…Said system continuously withstands thermal, chemical, and electrical stresses during its operation. Insulation and cooling effects are the basic properties of fluids used in transformers [6][7][8][9][10][11][12][13].…”

Section: Introductionmentioning

confidence: 99%

Dielectric Properties of Electrical Insulating Liquids for High Voltage Electric Devices in a Time-Varying Electric Field

et al. 2022

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The motivation to improve components in electric power equipment brings new proposals from world-renowned scientists to strengthen them in operation. An essential part of every electric power equipment is its insulation system, which must have the best possible parameters. The current problem with mineral oil replacement is investigating and testing other alternative electrical insulating liquids. In this paper, we present a comparison of mineral and hydrocarbon oil (liquefied gas) in terms of conductivity and relaxation mechanisms in the complex plane of the Cole-Cole diagram and dielectric losses. We perform the comparison using the method of dielectric relaxation spectroscopy in the frequency domain at different intensities of the time-varying electric field 0.5 kV/m, 5 kV/m, and 50 kV/m. With the increasing intensity of the time-varying electric field, there is a better approximation of the Debye behavior in all captured polarization processes of the investigated oils. By comparing the distribution of relaxation times, mineral oil shows closer characteristics to Debye relaxation. From the point of view of dielectric losses at the main frequency, hydrocarbon oil achieves better dielectric properties at all applied intensities of the time-varying electric field, which is very important for practical use.

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Color Index of Transformer Oil: A Low-Cost Measurement Approach Using Ultraviolet-Blue Laser

Cited by 5 publications

References 40 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

A Neural Network-Based Model for Predicting Saybolt Color of Petroleum Products

Dielectric Properties of Electrical Insulating Liquids for High Voltage Electric Devices in a Time-Varying Electric Field

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