Analisis Minyak Transformator Daya  Berdasarkan Dissolved Gas Analysis (Dga)  Menggunakan  Data Mining Dengan Algoritma  J48

Pramono, Agus; Haddin, Muhamad; Nugroho, Dedi

doi:10.35671/telematika.v9i2.457

Cited by 5 publications

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“…Bagaimana membangun sistem logika fuzzy untuk menentukan keadaan minyak isolasi dengan mempertimbangkan gas-gas yang terlarut dalam minyak isolasi. Dapat menentukan keadaan minyak isolasi secara akurat dengan menggunakan metode DGA dan logika fuzzy" [6].…”

Section: Studi Literatureunclassified

Analisis Perawatan Berkala Trafo Distribusi 800 kVA pada Rumah Sakit X Kota Tangerang

Kusuma,

Prayogo,

Mufit

2023

elektrika

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In Indonesia, electricity supply for buildings or buildings with needs above 200kVA requires a distribution transformer owned by the customer, so that electrical energy transactions are carried out on the medium voltage side of 20kV. The distribution transformer in a hospital is a very vital component, especially during the COVID-19 pandemic where transformers are forced to continue operating above nominal levels without any maintenance. Distribution transformer maintenance includes visual inspection, monthly maintenance, maintenance every six months and annual maintenance. Treatments carried out on distribution transformers at X Hospital are DGA (Dissolved Gasses Analysis), transformer insulation testing, TTR (Transformer Turn Ratio) testing, Breakdown Voltage testing, thermovision testing and Winding Resistance testing; In addition, treatment or purification of transformer oil is also carried out based on testing. all dissolved gas and total dissolved gas (TDCG) decreased after the purification process and after purification there is still residual dissolved gas in the transformer. Interpretation of dissolved gas data (DGA) using several methods indicates a "Thermal Fault > 300 Celsius". This is in line with the results of thermovision on the transformer which shows a hot spot at the termination of the HV phase W bushing. Confirmation of this suspect will be checked after repairing the termination. Keywords: Distribution Transformer, Transformer, Maintenance. ABSTRAKDi Indonesia, suplai kelistrikan untuk bangunan atau gedung dengan kebutuhan diatas 200kVA maka diperlukan trafo distribusi yang dimiliki oleh pelanggan, sehingga transaksi energi listrik dilakukan di sisi tegangan menengah 20kV. Trafo distribusi di sebuah rumah sakit merupakan suatu komponen yang sangat vital, terutama selama masa pandemic COVID-19 dimana trafo dipaksa untuk tetap beroperasi diatas narus nominal tanpa adanya perawatan. Perawatan trafo distribusi meliputi inspeksi visual, perawatan bulanan, perawatan tiap enam bulan dan perawatan tahunan. Perawatan yang dilakukan di trafo distribusi di Rumah Sakit X ini adalah DGA (Dissolved Gasses Analysis), pengujian insulasi trafo, pengujian TTR (Transformer Turn Ratio), pengujian Breakdown Voltage, pengujian thermovision dan pengujian Winding Resistance, selain itu juga dilakukan treatment atau purifikasi oli trafo Berdasarkan pengujian. semua gas terlarut dan total gas terlarut (TDCG) menurun setelah proses pemurnian dan setelah pemurnian masih ada sisa gas terlarut di trafo. Interpretasi data gas terlarut (DGA) dengan beberapa metode menunjukkan adanya “Termal Fault > 300 Celcius”. Hal ini sejalan dengan hasil thermovision pada trafo yang menunjukkan adanya hot spot pada bagian terminasi busing W fasa HV. Konfirmasi tersangka ini akan dilakukan pengecekan setelah dilakukan perbaikan terminasi.

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Section: Studi Literatureunclassified

Analisis Perawatan Berkala Trafo Distribusi 800 kVA pada Rumah Sakit X Kota Tangerang

Kusuma,

Prayogo,

Mufit

2023

elektrika

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“…Of course, the main target of predictive maintenance is to reduce corrective maintenance and transformer damage suddenly or unplanned shutdown.The most common predictive maintenance transformer technique and can be an indicator of the health of a transformer is the Dissolved Gas Analysis (DGA) Test. [17], [18] DGA Test is done by extracting and calculating the dissolved gas content in transformer oil. [19] Based on IEC Standard 60599 and IEEE Standard C57.104TM -2008.…”

Section: Introductionmentioning

confidence: 99%

Expert System for Predictive Maintenance Transformer using J48 Algorithm

Alimudin¹,

Sumardiono²,

Nugraha

2023

KINETIK

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Predictive maintenance can reduce the risk of sudden transformer failure which causes the risk of plant to stop operating. One of transformer predictive maintenance technique is the Dissolved Gas Analysis (DGA) Test Oil Transformer. The gas is interpreted and analyzed to find out and get conclusions about the health condition and also possible problems in the transformer based on IEEE Standards and IEC Standards. To facilitate monitoring, a Decision Support System for Interpretation of Test Results of DGA Oil Immersed Transformer was created to form a database containing transformer data with the amount of main gas from the DGA test results. Next, decision tree was made using the J48 algorithm. The decision tree simplifying and speed up the decision-making process for recommended actions that are displayed on the system. The system also displays a trending graph of the last transformer test and quickly displays a dashboard of transformer status, i.e. normal, alarm, or danger. Engineer will get notification email if any transformer is in danger status. In addition, the system is able to provide information on possible fault types for each transformer. The benefits of this system are that the health condition of the transformer can be monitored properly and corrective action can be taken immediately on a problem based on the results of the decision support system. This will reduce the risk of shutdown and support the reliability of plant operations.

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“…In the insulation oil specification and maintenance guide SPLN 49-1, it is stated that transformer insulation oil must meet certain specifications so that the insulation process with transformer oil can be carried out optimally [6]. Relative gas concentration according to IEEE is presented in Figure 1.…”

Section: Introductionmentioning

confidence: 99%

Partial Discharge Analysis of UBJOM Rembang PLTU Using Roger's Ratio Method

Wati

Arianto

Triwijaya³

2022

E-Komtek

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The disturbance of transformers often occurs at the field is named partial discharge. It refers to the spark release in the isolation of internal cavity or surface caused by the potential difference in the transformer isolation. As a result, the quality degradation of isolation material happens. To test it, the researcher employed Dissolved Gas Analysis by Roger's Ratio and Duval Triangle methods. The results demonstrated that transformer GT 10 reached the highest temperature of 417,229⁰C and produced overheating as indicated by paper carbonation and carbon particle formation in the oil (thermal fault 3000C–7000C). Meanwhile, the GT 20 transformer achieved the highest temperature of 169.2307⁰C and the color of paper isolation change to brown (at <300°C). Both transformers were detected getting the failure of partial discharge as the temperatures were more than 150⁰C; in which several gases were formed, including hydrogen and methane gases at around 150⁰C, ethane gas at approximately 250⁰C, ethylene gas at about 350⁰C, and acetylene gas at around 700⁰C. Accordingly, the higher the temperature, the lower the dielectric capacity, where it should function for separating the electrical conductors.

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Analisis Minyak Transformator Daya Berdasarkan Dissolved Gas Analysis (Dga) Menggunakan Data Mining Dengan Algoritma J48

Cited by 5 publications

References 0 publications

Analisis Perawatan Berkala Trafo Distribusi 800 kVA pada Rumah Sakit X Kota Tangerang

Analisis Perawatan Berkala Trafo Distribusi 800 kVA pada Rumah Sakit X Kota Tangerang

Expert System for Predictive Maintenance Transformer using J48 Algorithm

Partial Discharge Analysis of UBJOM Rembang PLTU Using Roger's Ratio Method

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