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All Journal Techno.Com: Jurnal Teknologi Informasi Jurnal Simetris Jurnal Sains dan Teknologi Prosiding SNATIF Wacana, Jurnal Sosial dan Humaniora Sinergi PROFIT : Jurnal Administrasi Bisnis Jurnal Fisika Unand Jurnal Optimasi Sistem Industri Jurnal Al-Qardh Jurnal Ilmiah KOMPUTASI International Journal of Technology And Business JURNAL TEKNOLOGI DAN OPEN SOURCE Jurnal Ilmiah Pendidikan Profesi Guru Jurnal Review Pendidikan dan Pengajaran (JRPP) JAIM (Jurnal Abdi Masyarakat) Jurnal Biogenerasi JURPIKAT (Jurnal Pengabdian Kepada Masyarakat) Jurnal Dialektika Informatika (Detika) Abdi Masya Jurnal Bingkai Ekonomi (JBE) ADMA: Jurnal Pengabdian dan Pemberdayaan Masyarakat Brilliance: Research of Artificial Intelligence Makara Journal of Technology Jurnal ICT : Information and Communication Technologies Jurnal Elektro Kontrol (ELKON) Tolis Mengabdi : Jurnal Pengabdian Kepada Masyarakat Journal of Sharia Accounting and Tax (JSAT Justicia Insight ABDIMAS NUSANTARA
Mohammad Iqbal
Universitas Muria Kudus
Religion Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Nursing Physics Public Health Social Sciences Other

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Journal : Sinergi

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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.
Co-Authors Abdul Nasir, Abdul Achmad Latif Ahwan, Dedy Noor Alfidro, Muhammad Reza Alvida Mustika Rukmi Ari Darmawan Bachtiar Arif, Ahmad Budi Gunawan Deasyana, Lusy Devita, Rahma Dewa, Krisna Kumara Dimas Anton Asfani Dwi Vernanda Dyah, Meiska Endang Supriyati Endang Supriyati Erick Febriyanto Fadlila, Muhammad Irfan Fahrudi, Agung Nugroho Luthfi Imam Fandi Ahmad Fauzan, Yuda Firdaus, Rivaldi Firmansyah, Fatkhiyatur Riza Hasanuddin, Iskandar Hendy Hermianto, Kukuh Husain, Ilyas H Idris, Nuramaliah Imam Abdul Rozaq Imam Mukhlash Indarto HS, Abdu Fitrah Irsyada, Rahmat Jazuli, Abdul Wahid Kadafi, Alsa Ahmad Kapi, Florentinus B Kasim, Sri Imelda kharisma Putra, Irfan Kholid Mawardi, Mukhammad Krishananto , Andreas Budi Larasati, Ika Larasati, Ika Latif, Achmad Listiani Listiani Longkop, Sutriani Afrilia Masesa Angga Wijaya Melyani Melyani, Melyani Mohammad Dahlan, Mohammad Mohammad Isa Irawan Nita Andriyani Budiman Noor Yulita Dwi Setyaningsih Nur Aini Fauziyah Nur Sholikin Nuralan, Sitti Nurfitria Khoirunnisa Nurul Hidayat Putra, Febriandika Qamarani, Syabibah Yusrina Rachma Agusti, Rosalita Rakim, Aditya Achmad Ramdhani, Muhammad Ilham Rasyadan Taufiq Probojati Rina Hastuti Rohman, Fadlur Rohman, Fadlur Rudi Salam Rukmini, Meme Saeful Anam, Saeful Solekhan Solekhan Solekhan Solekhan Sri Mulyani Suprihatin Suprihatin Supriyono, Joko Susilawati, Susilawati Tri Listyorini Tutik Khotimah Ulfah, Mariyah Usman Usman Utomo, Bagus Verlandes, Yuliasnita Yusri Abdillah zalyus, firda melani