Claim Missing Document
Check
Articles

Found 2 Documents
Search
Journal : EMITTER International Journal of Engineering Technology

Load Identification Using Harmonic Based on Probabilistic Neural Network Anggriawan, Dimas Okky; Amsyar, Aidin; Prasetyono, Eka; Wahjono, Endro; Sudiharto, Indhana; Tjahjono, Anang
EMITTER International Journal of Engineering Technology Vol 7, No 1 (2019)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (529.473 KB) | DOI: 10.24003/emitter.v7i1.330

Abstract

Due to increase power quality which are caused by harmonic distortion it could be affected malfunction electrical equipment. Therefore, identification of harmonic loads become important attention  in the power system. According to those problems, this paper proposes a Load Identification using harmonic based on probabilistic neural network (PNN). Harmonic is obtained by experiment using prototype, which it consists of microcontroller and current sensor. Fast Fourier Transform (FFT) method to analyze of current waveform on loads become harmonic load data. PNN is used to identify the type of load. To load identification, PNN is trained to get the new weight. Testing is conducted To evaluate of the accuracy of the PNN from combination of four loads. The results demonstrate that this method has high accuracy to determine type of loads based on harmonic load
Load Identification Using Harmonic Based on Probabilistic Neural Network Dimas Okky Anggriawan; Aidin Amsyar; Eka Prasetyono; Endro Wahjono; Indhana Sudiharto; Anang Tjahjono
EMITTER International Journal of Engineering Technology Vol 7 No 1 (2019)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (529.473 KB) | DOI: 10.24003/emitter.v7i1.330

Abstract

Due to increase power quality which are caused by harmonic distortion it could be affected malfunction electrical equipment. Therefore, identification of harmonic loads become important attention  in the power system. According to those problems, this paper proposes a Load Identification using harmonic based on probabilistic neural network (PNN). Harmonic is obtained by experiment using prototype, which it consists of microcontroller and current sensor. Fast Fourier Transform (FFT) method to analyze of current waveform on loads become harmonic load data. PNN is used to identify the type of load. To load identification, PNN is trained to get the new weight. Testing is conducted To evaluate of the accuracy of the PNN from combination of four loads. The results demonstrate that this method has high accuracy to determine type of loads based on harmonic load
Co-Authors Achmad Luki Satriawan Agus Mahadi Putra, Putu Ahmad Alvi Syahrin Ahmad Firyal Adila Aidin Amsyar Amsyar, Aidin Anang Budikarso Anang Budikarso, Anang Anang Tjahjono, Anang Andraeni, Azzahra Farah Arman Jaya Ayu Wulandari Ayu Wulandari Deriz Caesar Okinanto Diah Septi Yanaratri Dimas Okky Anggriawan Donny Prasetyo Santoso Eka Prasetyono, Eka Endro Wahjono Endro Wahjono, Endro ENI WULANDARI Epyk Sunarno Fahmi Naufala Mumtaz Farid Dwi Murdianto Ferdiansyah, Indra Firdaus, Aji Akbar Fitria Devi, Safira Gigih Prabowo Habibi, Muhammad Nizar Hartono, Helleina Rejeki Putri Hendik Eko H Suharyanto Imam Dui Agusalim Irianto Irianto Jufriyadi, Mohammad Karso, Anang Budi Lavia Isnani Lucky Pradigta Setiya Raharja Lugiana Nur Fitriah Rhamadani Lugiana Luki Septya Mahendra Mahbub Gusti Muhammad Mentari Putri Jati Milchan, Muhamad Moch. Igam Rahadyan MOCHAMAD ARI BAGUS NUGROHO Mufa’ary, Neily Itsqiyah Nismayanti, Nila Nanda Nizar Habibi, Muhammad Nizar, Ahmad Hisam Nugroho, Mochammad Ari Bagus Ony Asrarul Qudsi Ony Qudsi Pratama, Rafiif Ariesandi Rola Putri, Berliana Rahma Qudsi, Ony Asrarul Rachma Prilian Eviningsih Rachma Prilian Eviningsih, Rachma Prilian Rakhmawati, Renny Rifadil, Mochammad Machmud Romadhoni, Muhammad Fauzi Rusli, Muhammad Rizani Sasetyo, Muhammad Yudha Suhariningsih Suhariningsih Suhariningsih Suhariningsih Suryono Suryono Suryono Sutedjo Taufika, Putri Widyasavitta, Vena Chika Yahya Chusna Arif Yanaratri, Diah Septi Yolanita, Dian Zaenal Efendi, Mohammad Zulfa, Wildana