Spectrogram Based Window Selection for the Detection of Voltage Variation

Tee, Weihown; Yusoff, M.R.; Abdullah, Abdul Rahim; Jopri, Mohd Hatta; Anwar, Noreen; Musa, Haslinda

doi:10.30880/ijie.2019.11.03.025

Cited by 9 publications

(7 citation statements)

References 21 publications

(25 reference statements)

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“…A number of tests with the temperature of Peltier recorded is shown in Table 5. From the table shown, the data for current and voltage are stable and good result is determined with the greater temperature different, ∆𝑇 [46], [69]. All three set of collected data shows a stability of the system developed.…”

Section: Tariff Of the Devicementioning

confidence: 72%

Personal air-conditioning system using evapolar as heat waste management

et al. 2021

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Air-conditioning system that uses compressor-based initiate more energy and affects bill rate. As a result, an application of the Peltier impact module, a portable air-conditioning system is introduced to compensate user convenience by lowering sensible and latent heat inside the office area. Thermoelectric Peltier module is a thermoelectric semiconductor that offers cooling and hot plate once the plate is supplied by electric. The result reduces the cost, power consumption, and give thermal comfort in a dedicated space. The advantage of the study is the ability to cost deduction due to low power consumption and green technology devices factor because without refrigerant that harms the environment. Redesign the product with Evapolar as heat waste management affect the performance and need to be validated. The development stage of this product is better compared to a previous product which offers small scale, light, and portable. This product focuses on the office room, which gives a good feeling to users. This product uses air to remove the heat waste and the result indicates Evapolar is fit enough in dissipating heat. Finally, the performance of this system developed demonstrated that it can attain thermal comfort level.

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Section: Tariff Of the Devicementioning

confidence: 72%

Personal air-conditioning system using evapolar as heat waste management

et al. 2021

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“…IEEE Std. 1159-2009 explains the categories of PQ disturbances [28,29]. In this paper, the type of disturbances focused is voltage variation which are the voltage sag, swell and interruption.…”

Section: Power Quality Signals Modelsmentioning

confidence: 99%

Voltage variations identification using gabor transform and rule-based classification method

Tee¹,

Yusoff²,

Yaakub³

et al. 2020

IJECE

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This paper presents a comparatively contemporary easy to use technique for the identification and classification of voltage variations. The technique was established based on the Gabor Transform and the rule-based classification method. The technique was tested by using mathematical model of Power Quality (PQ) disturbances based on the IEEE Std 519-2009. The PQ disturbances focused were the voltage variations, which included voltage sag, swell and interruption. A total of 80 signals were simulated from the mathematical model in MATLAB and used in this study. The signals were analyzed by using Gabor Transform and the signal pattern, timefrequency representation (TFR) and root-mean-square voltage graph were presented in this paper. The features of the analysis were extracted, and rules were implemented in rule-based classification to identify and classify the voltage variation accordingly. The results showed that this method is easy to be used and has good accuracy in classifying the voltage variation.

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“…Accordingly, it is imperative to distinguish the most reasonable methodologies to recognize and diagnose the kind of the harmonic sources in the power system [14,15]. Different techniques have been proposed by researches due to diagnose the sort of harmonic sources dependent on various hypothetical standards, highlights, advantages, and downsides [16,17]. Moreover, a high skill of technical experience is required to appropriately diagnose the harmonic source type [10,18].…”

Section: Introductionmentioning

confidence: 99%

Naïve Bayes and linear discriminate analysis based diagnostic analytic of harmonic source identification

Jopri

Ghani

Abdullah

et al. 2020

IJEECS

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The diagnostic analytic type of harmonic source is a vital research due to diagnose and identify type of harmonic source that exist in the power system. This paper presents a comparison of machine learning (ML) algorithm namely as the Naïve Bayes (NB) and linear discriminate analysis (LDA) in identifying and diagnosing the harmonic sources. The MLs inputs are the voltage and current feature sets that estimated from the time-frequency representation (TFR) of S-transform analysis. Four specific cases of harmonic source location are considered in this research, whereas harmonic voltage (HV) and harmonic current (HC) source type-load are used in the diagnosing process. The sufficiency of the proposed methodology is tested and verified on the IEEE 4-bust test feeder, and to prevent overfitting, the K-fold cross-validation technique is implemented for performance evaluation. To identify the best ML, the performance measurement consist of the accuracy, precision, geometric mean, F-measure, sensitivity, and specificity are conducted.

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Spectrogram Based Window Selection for the Detection of Voltage Variation

Cited by 9 publications

References 21 publications

Personal air-conditioning system using evapolar as heat waste management

Personal air-conditioning system using evapolar as heat waste management

Voltage variations identification using gabor transform and rule-based classification method

Naïve Bayes and linear discriminate analysis based diagnostic analytic of harmonic source identification

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