Pattanadech, Norasage

Preferred name

Alternative Name

Pattanadech, N.

Main Affiliation

School of Engineering

norasage.pa@kmitl.ac.th

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The Experiment of Partial Discharge testing for Low Voltage Motor
(2025-01-01)
Sawangsri, Jaturaphat
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Wiangtong, Theerayod
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Pathanrat, Khomsan
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Ruangwong, Khomsan
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Jeenmuang, Siwakorn
Low-voltage (LV) motors are widely used and highly popular in industrial settings due to their critical role in production processes. Any malfunction or failure of an LV motor can lead to production downtime, resulting in reduced output and potential revenue loss. Therefore, it is essential to conduct diagnostic assessments that evaluate the reliability of the insulation system in LV motors. Partial Discharge (PD) testing is recognized as a highly effective and reliable method for assessing the condition of motor insulation. This paper presents PD testing on LV motors to investigate the behavior of partial discharges using multiple analysis techniques. Additionally, an acoustic camera is integrated into the testing process to accurately identify the discharge locations.
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Dissolved Gas Analysis of Palm Oil Compared with Mineral Oil from Different Types of Breakdown Voltage
(2020-10-25)
Suksagoolpanya, Suthat
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Jongvilaikasem, Korraya
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Jariyanurat, Kitipod
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Banthoengjai, Thanpilin
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Jeenmuang, Siwakorn
Natural products are required instead of chemical materials for saving the environment. Nowadays, the palm oil is a new alternative liquid insulation that may be used in a transformer. Normally, the characteristics of liquid insulation can be investigated and analyzed by various methods. One of the diagnosis methods widely used is a dissolved gas analysis technique (DGA). The propose of this paper is to study the interpretation of dissolved gases in the palm oil compared with that of in the mineral oil which is caused by different kinds of breakdown phenomena, i.e. AC breakdown, positive lightning impulse breakdown, and negative lightning impulse breakdown. An AC breakdown voltage test according to IEC 60156 was performed by using 3 difference gap spacing which were 1.0, 1.5, and 2.0 mm. For lightning impulse tests, the test cell was contained needle-sphere electrodes with 10, 15, and 20 mm gap different spacing. The lightning impulse tests were performed in accordance with IEC 60897. Each experiment was performed for 5, 10, and 15 times. For a material preparation, the mineral oil and the palm oil was heated at 80oC for 12 hours. Then, it was naturally cooled before filling into the test cell to perform AC and lightning impulse breakdown tests. After that, the mineral oil and the palm oil was sampled out of the test cell to perform the DGA experiment. The dissolved gases from the mineral oil and the palm oil were interpreted by applying IEC and IEEE gas interpretation techniques. It was found that the breakdown voltages of the palm oil were less than the mineral oil but the palm oil generates more dissolved gases than the mineral oil. Moreover, Duval pentagon for natural ester fluid seemed to be the most suitable method to interpret dissolved gases in the palm oil compared with the IEC ratio, Doernenburg ratio, Roger ratio, and Duval triangle.
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Dielectric analysis of degraded stator bars of a hydro generator
(2022-04-01)
Pattanadech, Norasage
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Phumipunepon, Natnaree
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Srinangyam, Chissanupong
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Jeenmuang, Siwakorn
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Bunlaksananusorn, Chanin
This paper presents the investigation of dielectric analysis of degraded stator bars by Polarization and Depolarization Current (PDC) measurement. The stator bars obtained from the 30-year in-service synchronous machine were divided into two groups. The first group was the unmodified stator bars. The second group was the simulated degradation stator bars which were composed of the thermal stress stator bars, conductive tap abrasion stator bars, multiple air cavity stator bars, multiple oil filled stator bars and multiple water filled stator bars. PDC test experiment was performed with the stator bar samples. PDC test results were analyzed in time domain and in frequency domain with the derived parameters i.e. R<inf>dc</inf>, real and imaginary part of complex capacitance, C ratio, conduction loss factor and polarization loss factor. It was found that PDC shapes obtained from the conductive tape abrasion stator bar and multiple water filled cavity stator bar were clearly different from that of the unmodified stator bar. For other case studies, the derived parameters showed the usefulness in analysis the degraded stator bar characteristics. For example, the increase in the imaginary capacitance and conduction loss factor can be observed from most cases of degraded stator bar test results.
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Localisation of Partial Discharge in Power Cables Through Multi-Output Convolutional Recurrent Neural Network and Feature Extraction
(2023-02-01)
Yeo, Joel
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Jin, Huifei
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Mor, Armando Rodrigo
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Yuen, Chau
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Pattanadech, Norasage
This paper proposes an algorithmic approach constructed from a convolutional recurrent neural network (CRNN) iterated with examination of extracted features for partial discharge (PD) localisation; tests were conducted offline on medium voltage (MV) power cables. To evaluate the performance of the algorithm, a case study was performed on 7 cables deliberately selected to comprehensively illustrate the difficulties encountered in field testing. The experimental test results prove that the proposed concept is able to identify and localise discharges besmirched with significant quantities of noise. Main contribution of the methodology is the successful automated interpretation of measurements acquired under noisy challenging field constraints.
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Comparison of Dissolved Gas Analysis (DGA) Between Mineral Oil, Neutural Ester, and Palm Oil With Nano-Particle BaTiO3
(2024-01-01)
Laohapongpan, Triani
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Promphanich, Wiboon
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Boonlaksananusorn, Chanin
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Jeenmuang, Siwakorn
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Pattanadech, Norasage
The dielectric liquid properties can be improved by adding suitable nano-particles to increase the dielectric and other properties. The BaTiO<inf>3</inf> has been interesting for a decade for use to improve the liquid insulation characteristics. Such nanoparticles were used to mixed with mineral oil, natural ester, and palm oil. This paper focuses on a comparison of mineral oil, natural ester, and palm oil with BaTiO<inf>3</inf> by the Dissolved Gas Analysis (DGA) technique. Hydrogen (H2), Methane (CH4), Acetylene (C2H2), Ethylene (C2H4), Ethane (C2H6), Carbon Monoxide (CO), Carbon dioxide (CO<inf>2</inf>) were mainly considered gases to compare because they are in the gas limitation used to diagnose a transformer problem. This researcher found that palm oil produces the most gas after undergoing thermal stress but its generating trend was better than others because the gas-producing rate decreases at higher temperatures.
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The Polarization and Depolarization Current Characteristics of Natural Ester Stressed by Partial Discharge
(2020-10-25)
Maneerat, Noppadol
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Makmork, Kawee
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Kittikhuntharadol, Yannaphol
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Suksai, Nattapat
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Chusang, Thanapat
This paper represents the polarization and depolarization current (PDC) of the natural ester stressed by partial discharge (PD). The needle-plane electrode was used to simulate corona discharge in natural ester. Besides, the needle electrode as a high voltage electrode placed on the 8 hours natural ester impregnated pressboards and the plane electrode as a grounded electrode were used to simulate the surface discharge. To simulate the internal discharge, the plane-plane electrode inserted with various condition impregnated pressboards were experimented. PD phenomena were simulated in the natural ester container for 1, 3, and 6 months. Then the PD-stressed natural ester was used as the liquid specimen for polarization and depolarization current measurement. It was found that the PDC characteristics of natural ester undergone with various PD types were obviously different.
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THE INFLUENCE of NANOPARTICLES on the DIELECTRIC DISSIPATION FACTOR and LIGHTNING PROPERTIES in PALM OIL-BASED NANOFLUIDS
(2022-04-01)
Pattanadech, Norasage
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Muangpratoom, Pichai
In this study, the influence of nanoparticles when mixed with insulating palm oil is investigated in terms of tan δ or the dielectric dissipation factor and lightning properties. Three different nanofluid sample types are derived from the dispersion of zinc oxide (ZnO), titanium dioxide (TiO2) and barium titanate (BaTiO3). The nanoparticle concentrations tested were 0.01% and 0.03% while the base fluid was unmodified palm oil. Evaluation of tan δ was performed in accordance with the IEC 60247 standard via the use of the tan δ meter (model SOKEN: DAC-IM-D6) and the lightning impulse breakdown voltage were based on the IEC 60897 standard. In order to test the electrical insulation qualities of the palm oil over a range of temperatures from 35-90°C for each of the tan δ values revealed the dielectric loss tangent, and the findings lightning properties was performed at the room temperature. Significant increases of the palm oil with nanoparticles in comparison to unmodified palm oil. These results suggested that further investigation would be worthwhile to better understand the effects of the nanoparticles in palm oil upon tan δ and the lightning impulse breakdown voltage characteristics in order to make additional improvements.
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Frequency Domain Spectroscopy Analysis of the Water Tree XLPE Cable
(2022-01-01)
Sawatdimongkol, Whichakorn
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Chancharoensook, Phop
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Sawatdimongkol, Worachai
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Taylim, Alisala
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Luangpol, Amata
Water tree is one type of insulation deterioration occurring in polymeric cables such as polyethylene, ethylene-propylene rubber, and cross-linked polyethylene (XLPE) caused by the existing impurities in the bulk insulation or imperfection of the semiconductive surface. Moreover, the water tree phenomenon affects the cable's overall lifetime and can be developed into an electrical tree, leading to the failure of the cable. Because of this, the evaluation of water trees becomes one of the most important factors in the condition assessment of the cable. This paper presents the comparison of the dielectric properties of 22 kV XLPE underground cable between aged and new (unused) cables. Furthermore, the water tree was detected in the aged cable. Besides, the evaluation of aged and new cables was performed by frequency-domain spectroscopy (FDS), which measures the insulation's complex capacitance and dissipation factors in the frequency domain. Then, the aged and new cables' complex capacitance and dissipation factor were compared. The test result found that the dissipation factor and imaginary part of the complex capacitance of the aged cable have a higher value than these of the new cable. More or less, the results show that FDS is one of the non-destructive testing methods suitable for assessing the condition of the cable insulation, which deteriorated by water tree.
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Analysis of electrical insulation paper by Simulation for analyze Polarization and Depolarization current testing method
(2023-01-01)
Rakkaphan, Chananut
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Boonsaner, Nutthaphan
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Pattanadech, Norasage
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Chancharoensook, Phop
This paper presents the quality analysis of insulation paper in distribution transformer oil in Thailand. The country locates in tropical zone and therefore experiences relatively high temperature. Analytical principles based on polarization and depolarization current method with various test conditions are used. Computer simulation can help to analyze the efficiency of insulation paper in transformer oil under different voltages and temperatures. The tested system consists of an electrode inside a high-Temperature and high-voltage control cabinet. It can be concluded that increasing temperature has a marginal effect on the electric field stress of the electrode. However, the rising temperature significantly affects the polarization current that flows through the insulators. The results can indicate the limitation of using oil insulation paper and how to improve the quality of it.
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Partial Discharge Classification with Transformer Neural Networks
(2024-01-01)
Cheypoca, Thepjit
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Promphanich, Wiboon
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Thway, Aung Ye
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Hankae, Angelina Phimpissada
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Jeenmuang, Siwakorn
This paper introduces an approach with the Transformer Neural Networks model for partial discharge patterns classification, that consists of corona discharge, internal discharge and surface discharge. The PD measuring circuit suggested in IEC 60270:2000 is used to record Partial discharge signals. Independent parameters such as phase and charge of PD patterns were recorded. The phase value will be encoded into the charge array and Transformer Neural Network is constructed using Positional Embedding and Transformer Encoder Layer. 80% of the recorded data will be used as a training data and 20% recorded data was used for testing of the classification models. Impacts of neuron numbers and network architecture on the PD classification performance will be observed

Pattanadech, Norasage

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