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Analisis Karakteristik Arus dan Tegangan pada Inisiasi Feroresonansi Transformator Tegangan Rendah I Gusti Ngurah Satriyadi Hernanda; I Made Yulistya Negara; Adi Soeprijanto; Dimas Anton Asfani; Mochammad Wahyudi; Daniar Fahmi
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 7 No 2: Mei 2018
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1195.58 KB)

Abstract

Ferroresonance is an interaction phenomenon between non-linear inductance and capacitance that initiates abnormal waveform of current and voltage. This phenomenon is very sensitive to system parameter and initial condition. In this paper, ferroresonance initiation involved a basic circuit of series ferroresonance with variation of source voltage magnitude on a single phase low voltage transformer. The scheme of experiment was based on the case of transformer energizing. The trends of current and voltage waveform on the primary windings were investigated and transformed by using Fast Fourier Transform (FFT). The harmonics spectrum was then employed to identify the feroresonance mode and calculate the Total Harmonics Distortion (THD) of current and voltage. The experimental results showed that the higher source voltage magnitude caused the ferroresonance responses to be seen more clearly. It was indicated by the more distorted waveform, the higher odd harmonics frequency amplitude especially for 150 Hz, and the greater THD. Based on the harmonics spectrum and wave period, the ferroresonance responses were identified as fundamental mode. The effects of initial conditions, such as residual flux of transformer and capacitor charge, were also seen on the distorted wave peak during transient condition. In addition, the difference of waveform between normal and ferroresonance condition could be more easily observed on the voltage than the current. The waveforms of current and voltage during experiment had been verified by using simulation.
Sosialisasi Serta Pembuatan Buku Panduan Mengenai Bahaya dan Mitigasi Petir Guna Mengurangi Resiko Tersambar Petir di Desa Ngendut, Ponorogo Asfani, Dimas Anton; Negara, I Made Yulistya; Hernanda, I Gusti Ngurah Satriyadi; Handayani, Puji; Suryani, Titiek; Kuswidiastuti, Devy; Setijadi, Eko; Nugraha, Yurid Eka; Fahmi, Daniar
Sewagati Vol 8 No 3 (2024)
Publisher : Pusat Publikasi ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j26139960.v8i3.840

Abstract

Sambaran petir merupakan salah satu bencana alam yang dapat menyebabkan korban jiwa dan kerugian material. Desa Ngendut, Ponorogo merupakan salah satu desa yang sering dilanda sambaran petir. Untuk mengurangi risiko tersambar petir di desa ini melalui skema pengabdian kepada masyarakat yang dilakukan Laboratorium Tegangan Tinggi Departemen Teknik Elektro ITS turut menjawab permasalahan tersebut dengan melakukan sosialisasi bahaya dan mitigasi sambaran petir serta pembuatan buku penangkal petir sederhana guna mengurangi risiko tersambar petir di Desa Ngendut, Ponorogo. Materi sosialisasi meliputi bahaya sambaran petir, dan cara menghindari sambaran petir, serta membuat buku panduan bahaya petir dan prosedur keselamatannya untuk memudahkan warga desa dalam memahami materi sosialisasi. Sasaran kegiatan penyuluhan pada kegiatan pengabdian masyarakat ini adalah para Warga Desa Ngendut, Kabupaten Ponorogo. Hasil dari sosialisasi ini telah meningkatkan kesadaran Warga Desa Ngendut bahaya sambaran petir dan meningkatkan kemampuan mereka dalam melakukan mitigasi sambaran petir.
Analysis of Breakdown Characteristics in Nanofluid Insulation Materials with Metal Particle Contamination Mubarok, Abdul Fattah; Asfani, Dimas Anton; Negara, I Made Yulistya; Fahmi, Daniar; Subekti, Hakim
JAREE (Journal on Advanced Research in Electrical Engineering) Vol 8, No 2 (2024): July
Publisher : Department of Electrical Engineering ITS and FORTEI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/jaree.v8i2.408

Abstract

Optimal insulation in transformers is essential to maintain their performance and reliability. However, insulation-related problems, particularly transformer oil contamination, often result in premature transformer failure. To address this issue, a solution has been proposed in the form of a nanofluid, a mixture of transformer oil, and nanoparticles. This study aims to investigate the impact of metal particle contamination on the breakdown and levitation voltage characteristics of nanofluids as liquid insulating materials. The nanofluids were prepared by mixing mineral oil with Fe3O4 nanoparticles at three different concentrations. Tests were conducted to evaluate the AC breakdown and levitation voltages for various contaminant metal particle sizes. The experimental results demonstrate that contaminant particle size has a significant impact on the breakdown voltage. The nanofluid with a concentration of 0.008% Fe3O4 exhibited superior breakdown voltage performance compared to mineral oil and 0.016% Fe3O4 nanofluid. Furthermore, an increase in the levitation stress was observed as the contaminant particle size increased. The findings of this study emphasize the importance of controlling contamination and selecting the appropriate concentration of nanoparticles to enhance transformer insulation performance. This study also highlights the necessity of monitoring the size of contaminant particles to prevent potential damage. Consequently, this study makes a significant contribution to the advancement of more reliable and efficient transformer insulation technology.
Influence of metal particles shape on direct current voltage electric properties of nanofluids Fahmi, Daniar; Akbar, Muhammad Fadlan; Yulistya Negara, I Made; Hernanda, I Gusti Ngurah Satriyadi; Asfani, Dimas Anton; Zaidan, Risyad Alauddin; Fadhilah, Arkan
International Journal of Electrical and Computer Engineering (IJECE) Vol 15, No 1: February 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v15i1.pp56-66

Abstract

It is widely recognized that the application of nanoparticles has the potential to improve the dielectric properties of transformer oil. Nevertheless, there is a scarcity of studies that have utilized pure nanofluids, and in practical applications, it is inevitable for transformer oil to become contaminated. Therefore, this study conducted tests to investigate how the shape and size of metal contaminants impact the dielectric performance of Fe3O4 nanofluids. The findings from the levitation voltage test indicate that as the size and diameter of the particle increase, the levitation voltage value measured also increases, and conversely. Moreover, a higher concentration of nanoparticles leads to a higher measured levitation voltage value. On the other hand, the breakdown voltage test results demonstrate that larger and sharper particles result in lower measured breakdown voltage values, and vice versa. The simulation outcomes regarding electric field distribution reveal that larger and sharper particles correspond to higher measured electric field values, while the opposite is true for smaller and less sharp particles.
Evaluation Of Digital Wavelet Filter On Low Voltage Arcing Detection Equipment Widyatama, Anton Putra; Asfani, Dimas Anton
JAREE (Journal on Advanced Research in Electrical Engineering) Vol 7, No 2 (2023): July
Publisher : Department of Electrical Engineering ITS and FORTEI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/jaree.v7i2.311

Abstract

Arcing is one of the causes of fire disasters that occur quite a lot in the world. The danger of arcing causes enormous losses. The fault current caused by arcing usually occurs in a very short duration, so that safety equipment such as Miniature Circuit Breaker (MCB) and Fuse cannot detect the disturbance. If arcing takes place continuously, there will be heat that can damage the equipment and cause a fire. In this study, an evaluation of the use of mother wavelets in the Discrete Wavelet Transform (DWT) method on low voltage detection equipment will be carried out. DWT is a mathematical function that is the most successful in the field of signal processing. Signal processing using the DWT method will be analyzed and compared its performance with mother wavelets Daubechies-1, Daubechies-4, Coiflet-4, and Symlet-4. Then applied to low voltage arcing detection equipment. From the results of testing and analysis obtained the mother wavelet Daubechies-4 produces a high level of accuracy and sensitivity. Mother wavelet Coiflet-4 and Symlet-4 produce the lowest level of accuracy at 400W and 700W load. Meanwhile, on the mother wavelet Daubechies-1, the normal signal amplitude value is close to the arcing signal amplitude value, so it will be difficult to determine the threshold value. In this study, the results obtained are arcing detection equipment using the mother wavelet Daubechies-4 method can detect arcing disturbances very well and produces a high level of accuracy and sensitivity compared to the mother wavelet Daubechies-1, Coiflet-4 , and Symlet-4.
Inovasi Mesin Penyortir Kopi Otomatis Berbasis Solar Cell Guna Meningkatkan Kualitas Pengolahan Kopi di Desa Jambuwer Negara, I Made Yulistya; Asfani, Dimas Anton; Hernanda, I Gusti Ngurah Satriyadi; Fahmi, Daniar; Suryani, Titiek; Kuswidiastuti, Devy
Sewagati Vol 9 No 1 (2025)
Publisher : Pusat Publikasi ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j26139960.v9i1.2205

Abstract

Kopi menjadi salah satu komoditas besar di Indonesia. Salah satu daerah penghasil kopi di Indonesia yaitu Desa Jambuwer, Kabupaten Malang. Produksi kopi di Desa Jambuwer masih banyak yang dilakukan secara manual, terutama dalam menyortir biji kopi berdasarkan ukuran diameternya. Metode sortir biji kopi manual selama satu hari mampu menyortir sebanyak 40 kg. Metode ini membutuhkan waktu produksi menjadi lebih panjang dan tenaga manusia lebih banyak. Maka dari itu, dirancanglah inovasi mesin penyortir biji kopi otomatis yang ditenagai oleh panel surya bersistem PLTS hybrid. Bagian utama mesin ini terdiri dari motor induksi satu fasa, engkol, dan papan pengayak tiga tingkat yang setiap tingkat memiliki lubang diamater yang berbeda. Motor induksi satu fasa mendapatkan suplai daya listrik dari sistem PLTS hybrid sehingga penggunaan sistem alat ini tidak membebani tagihan listrik petani kopi sekaligus mendukung transisi energi yang lebih ramah lingkungan. Hasilnya, biji kopi yang mampu disortir menggunakan mesin selama sehari sebanyak 250 kg dengan hasil sortir ukuran lebih akurat sehingga kualitas produksi kopi meningkat dan mendapat harga jual yang lebih layak. Kegiatan ini mendukung dua poin Sustainable Development Goals, yaitu pekerjaan layak dan pertumbuhan ekonomi (SDG 8), dan konsumsi dan produksi yang bertanggung jawab (SDG 12).
Pemanfaatan Ultrasonic Wave Generator Berbasis Solar Cell serta Monitoring Kelembaban Tanah untuk Membasmi Hama Pertanian Guna Meningkatkan Kualitas Hasil Panen Kelompok Tani Desa Ngronggot Hernanda, I Gusti Ngurah Satriyadi; Negara, I Made Yulistya; Asfani, Dimas Anton; Fahmi, Daniar; Suryani, Titiek; Kuswidiastuti, Devy
Sewagati Vol 9 No 1 (2025)
Publisher : Pusat Publikasi ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j26139960.v9i1.2206

Abstract

Mayoritas penduduk Dusun Dingin bekerja sebagai petani karena luasnya area persawahan di wilayah tersebut. Tantangan utama yang dihadapi adalah serangan hama burung pipit dan tikus yang menurunkan hasil panen. Untuk mengatasi hal ini, Tim Pengabdian Masyarakat Laboratorium Tegangan Tinggi Departemen Teknik Elektro ITS mengembangkan alat pengusir hama berbasis gelombang ultrasonik dan bel sebagai noise generator. Alat ini ditenagai oleh panel surya untuk efisiensi biaya dan dilengkapi sistem monitoring kelembaban tanah untuk membantu irigasi. Alat ini dapat dimonitor melalui aplikasi berbasis IoT. Program ini ditujukan untuk kelompok tani “Hidup Bersama” dengan strategi pelaksanaan meliputi studi kasus, perancangan alat, uji coba, serta sosialisasi. Setelah tiga bulan, alat ini berhasil meningkatkan hasil panen petani sebesar 100–200 kg.
Fault Detection Experiment of Unbalanced Voltage and Air Gap Eccentricity on Induction Motor Using a Flux Sensor Husnah, Nurul; Asfani, Dimas Anton; Negara, I Made Yulistya
JAREE (Journal on Advanced Research in Electrical Engineering) Vol 7, No 1 (2023): January
Publisher : Department of Electrical Engineering ITS and FORTEI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/jaree.v7i1.340

Abstract

Abstract— The induction motor is one of the popular equipment used in various types of industrial sectors. It is necessary to monitor the condition of the induction motor to maintain its safety and performance of the induction motor. The most common damage to the induction motor is bearing failure reaches 40% resulting in air gap eccentricity. Most of the research to detect the occurrence of air gap eccentricity is carried out based on the analysis of motor current signals. To overcome the disadvantages of the above methods, the detection of air gap eccentricity using a sensor flux that can detect leakage flux from the motor body and the fault detection results by measuring the flux signal analyzed. Flux analysis using the Fast Fourier Transform (FFT) algorithm in balanced and unbalanced voltage conditions. Induction motor failure analysis compared normal motor conditions with an eccentricity of 0.1 mm and 0.2 mm. Eccentricity detection is done by monitoring the amplitude that emerges in the frequency spectrum with notice of the threshold. Detection results from the eccentricity fault showed that success is detected 100% using a sensor flux on unbalanced voltage (under voltage 5%) at a full-load condition.
Evaluasi Performa Filter Daya Aktif 3 Fasa 4 Lengan untuk Beban Area Bisnis Rukmana, Maman; Priyadi, Ardyono; Rizqiawan, Arwindra; Rachmildha, Tri Desmana; Sitorus, Philip Nathanael Erlangga; Asfani, Dimas Anton; Negara, I Made Yulistya
Prosiding Seminar Nasional Teknik Elektro, Sistem Informasi, dan Teknik Informatika (SNESTIK) 2025: SNESTIK V
Publisher : Institut Teknologi Adhi Tama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/p.snestik.2025.7138

Abstract

Peningkatan konsumsi energi pada konsumen listrik sektor bisnis menyebabkan semakin banyaknya beban non-liner berupa rectifier satu fasa yang menghasilkan harmonik. Injeksi harmonik arus menyebabkan terjadinya distorsi bentuk gelombang tegangan sistem, pemanasan berlebih pada mesin listrik dan kegagalan peralatan sensitif. Salah satu cara untuk menanggulangi masalah harmonik adalah dengan memasang filter daya aktif secara paralel. Filter daya aktif paralel dapat menghilangkan harmonik dan menyeimbangkan beban. Penelitian ini bertujuan untuk mengevaluasi performa filter daya aktif pada sistem 3 fasa 4 kawat untuk mengatasi harmonik arus yang disebabkan oleh beban non-linier pada konsumen listrik area bisnis. Filter daya aktif bertugas untuk menginjeksikan komponen daya aktif osilasi, daya reaktif dan daya aktif urutan nol ke dalam beban. Sehingga sumber hanya menginjeksikan komponen daya aktif rata-rata ke dalam beban. Dengan menggunakan teori daya instantaneous, hasil simulasi menunjukkan bahwa filter daya aktif berhasil menurunkan THD arus, arus pada sumber bersifat sinusoidal dan seimbang.
TE-LSTM: winding temperature prediction for induction motors in the oil and gas industry Supriyono, Joko; Mukhlash, Imam; Iqbal, Mohammad; Asfani, Dimas Anton
SINERGI Vol 29, No 3 (2025)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/sinergi.2025.3.022

Abstract

Induction motor winding failure repair takes longer compared to other failures, such as bearing failure. This research introduces a hybrid deep learning framework, TE-LSTM, to predict winding temperatures in induction motors used in oil and gas operations, aiming to address the challenges of accurately forecasting potential winding failures and enabling proactive maintenance strategies. The TE-LSTM model combines a transformer encoder-based architecture with long short-term memory to effectively model intricate temporal relationships and sensor dynamics within the dataset. The study utilized data collected from January 2016 to December 2024 at 1-minute intervals from induction motors equipped with stator winding temperature sensors, where the motors were designed with Class F insulation and had stage 1 and stage 2 alarms set at 257°F and 285°F, respectively. The findings highlight the efficiency and performance of the TE-LSTM model in predicting winding temperatures, which can significantly reduce unplanned downtime and associated costs, thereby optimizing maintenance operations and enhancing the reliability of the motor.