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All Journal ComEngApp : Computer Engineering and Applications Journal VALENSI JURNAL KIMIA SAINS DAN APLIKASI Jurnal Natur Indonesia Jurnal Riset Kimia SEMIRATA 2015 Jurnal Pengabdian UntukMu NegeRI Jurnal Surya Medika Jurnal CoreIT Indonesian Journal of Chemistry JURNAL PHOTON JURNAL PENDIDIKAN TAMBUSAI J-Dinamika: Jurnal Pengabdian Kepada Masyarakat Building of Informatics, Technology and Science Zonasi: Jurnal Sistem Informasi AL - Mujaddid Jurnal Ilmu-ilmu Agama Journal of Computer System and Informatics (JoSYC) Community Development Journal: Jurnal Pengabdian Masyarakat Jurnal Pengabdian kepada Masyarakat Nusantara Information System Journal (INFOS) KLIK: Kajian Ilmiah Informatika dan Komputer JUSTIN (Jurnal Sistem dan Teknologi Informasi) Dinamika Lingkungan Indonesia Makara Journal of Science Tsaqofah: Jurnal Penelitian Guru Indonesia Malcom: Indonesian Journal of Machine Learning and Computer Science Aurelia: Jurnal Penelitian dan Pengabdian Masyarakat Indonesia Jurnal Aplikasi IPTEK Indonesia AHKAM : Jurnal Hukum Islam dan Humaniora Mestaka: Jurnal Pengabdian Kepada Masyarakat Molekul: Jurnal Ilmiah Kimia Journal Of Artificial Intelligence And Software Engineering
Jasril Jasril
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Religion Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mechanical Engineering Medicine & Pharmacology Nursing Physics Public Health Social Sciences Other

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Journal : comengapp computer engineering and applications journal

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The Turbofan Engine Remaining Useful Life Prediction Using 1-Dimentional Convolutional Neural Network Fauzan, Ahmad; Handayani, Lestari; Insani, Fitri; Jasril, Jasril; Sanjaya, Suwanto
Computer Engineering and Applications Journal Vol 13 No 03 (2024)
Publisher : Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18495/comengapp.v13i03.484

Abstract

Turbofan engines have been the dominant type of engine in aircraft for the last forty years. Ensuring the quality of these engines is crucial for flight safety, particularly for long-distance flights. However, their performance degrades over time, impacting flight safety. To address this issue, it is essential to predict potential engine failures by estimating the Remaining Useful Life (RUL) of the engines Deep learning, especially Convolutional Neural Networks (CNNs), has demonstrated exceptional proficiency in handling intricate, non-linear data, leading to improved RUL predictionsdue to their ability to process complex and non-linear data. In this project, a 1-D CNN is used to predict RUL using the NASA C-MAPSS FD001 dataset, which consists of 3 settings and 21 sensors, though sensors with stagnant readings are excluded. The dataset is normalized using min-max and z-score methods, and then segmented into sequences for input into the 1-D CNN model. Various training scenarios were evaluated, with the best RMSE of 3.26 achieved using 10 epochs, a learning rate of 0.0001, and z-score normalization. The results indicate that feature selection can produce a lower RMSE compared to scenarios without feature selection.
Co-Authors - Aisyah - Nurlaili -, Sulismayati Abdul Aziz Adel Zamri Adel Zamri agistia, nesa Ahmad Dusuki Daulay Ahmad Fauzan Aisyah Aisyah Aisyah, - Akbar, Unggul Al Fiqri, M. Faiz Alfarabi.B, Alif Ananda, Sherly Anggita, Anggi Fisi Aprilia, Tasya Asmawati Asmawati Baehaqi Bintal Amin Christine Jose Christine Jose Dampang, Hasria Darian Alfatos Denai Wahyuni Desviana, Laila Dewi, Erna Puspita Elin Haerani Elka Yuslinda Elvia Budianita Elviyenti, Elviyenti Fadhilah Syafria Faladhin, Johan Fauzi, Faradiba Kamilia Fawrin, Heralda Febi Yanto Fernando, Rivan Fiffah, Chainul Firmathoina, Aisyah Fitri Insani Fitria Novitasari Frischa Meivilona Yendi Gusti, Siska Kurnia Haiyul Fadhli Hamersat, Danu Haresman, Haresman Hariansyah, Jul Hasmalina Nasution Hendra, Rudi Hilwan Yuda Teruna Hurria, Hurria Ihsan Ikhtiarudin Iis Afrianty Ikhtiaruddin, Ihsan Iktiarudin, Ihsan Illahi, Ridho Indah Wulandari Iqbal Maulana Isnaniar Iswantir M Jufrizal Syahri Laila Desviana Lazulva Lazulva, Lazulva Lestari Handayani Lisa Utami Mahesi Agni Zaus Marta, Rizkayeni Masykur Hz Masykur HZ Muhammad Ayyub Roy Tama Muhammad Irsyad Muhdarina Muhdarina Muhdarina Muliani, Sarifah Muslim Syaifullah, Mhd Nazir, Alwis Negara, Benny Sukma Neni Frimayanti Nizar Zulmi Hasibuan Nofirda, Fitri Ayu Novianty, Riryn Nuraini Ramadhani Nurhayati Nurlaili Nurlaili Nurlaili, - Nurwijayanti Pranata, Joni Prasetya Prasetya, Prasetya Putra, Ade Herdian Putra, Rido Putri, Atika Putri, Rahmayani Indah Rahayu, Anggi Putri Rahma Dona Rahmadini Syafri Rahmiwati Hilma Ramadhani, Eka Ramadhani, Siti Ramadhanti, Aulia Rizki Retno Hidayati Rudi Hendra Salsabiela, Fadhilla Sardi, Hajra Sari, Meidita Kemala Sari, Nila Puspita Satira, Husna Shalihah, Putri Mar Atus Silvera Devy Siregar, Sri Hilma Siregar, srihilma Soeci Izzati Adlya Sofyan Husein Siregar Sulismayati - Surya Agustian Suwanto Sanjaya Syaifullah, Mhd Muslim Syukri Daud Tri Windarti Tri Windarti Tria Harlianti Ulhukmi, Nisa Veithzal Rivai Zainal WAHYUDI, DIKI Wenni, Osriza Yan Guspriadi Yasthophi, Arif Yuana Nurulita Yuca, Verlanda Yuharmen - Yum Eryanti Yuni Fatisa Yusra, Yusra Zadrian Ardi Zikra, Nadila Zulmy, Winda Permata `Nasution, Hasmalina