Article Per Year (5 Year)
p-Index From 2020 - 2025
4.174
P-Index
This Author published in this journals
All Journal Journal of Economics, Business, & Accountancy Ventura Jurnal Kesehatan Bina Generasi Jurnal Pengabdian kepada Masyarakat Nusantara JAREE (Journal on Advanced Research in Electrical Engineering) Jurnal Kesehatan Tambusai Pancasakti Journal Of Public Health Science And Research Idea Pengabdian Masyarakat Window of Midwifery Journal Jurnal Informasi Sains dan Teknologi (ISAINTEK) Journal Of Human And Education (JAHE) Jurnal Akuntansi dan Keuangan Indonesia Khuluqiyya: Jurnal Kajian Hukum dan Studi Islam Journal of Law, Poliitic and Humanities Jurnal Busana dan Budaya Jurnal Inovasi Dan Pengabdian Kaa Mieera
Husnah, Nurul
Unknown Affiliation
Religion Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Medicine & Pharmacology Nursing Public Health Social Sciences Other

Published : 29 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search
Journal : JAREE (Journal on Advanced Research in Electrical Engineering)

 1 
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.
Co-Authors Abeng, Andi Tenri Alam, Samsu Arafah, Siti Ayyub, Muhammad Dimas Anton Asfani Fauzi Ahmad Muda Fauziah. H, Putri Fitriana Fitriana Hamang, Sitti Hadriyanti Hamang, Sitti Hadriyati Hamdan Kadir HR, Herman I Made Yulistya Negara Iffah Zahirah A Irwan, Muh. Agil Farham Istiqamah, Evi Jan Jan, Wa Ode Kurniati K. Soom, Hildayani Karuniawati, Nia Kelkulat, Ramla La Elo, Yulianto Lembang, Naomi Lestaluhu, Fadel Machmud Masnilawati, Andi Muntia, Wa Ode Nahdiyat Abdullah, Andi Nurlina Akbar Prastoro, Wiko Rabiatuladawiyah Ria, Ni Made Rifani, Rifani Roma Ulinnuha Rosmala Dewi Rusliadi Rusliadi S, Suryanti saputri, Linda Hardianti Sitti Nurana Soom, Hildayani K Suchi Avnalurini Sharief Sundari Sundari Syamsul, Muhammad Ayyub Syarief, Suchi Avnalurini Yulianto La Elo Yulianto La Elo