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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Jurnal Teknik Mesin Rotasi AUSTENIT SINTEK JURNAL: Jurnal Ilmiah Teknik Mesin Sinergi Jurnal Teknologi Elektro VANOS Journal of Mechanical Engineering Education Jurnal Teknik Mesin JMPM (Jurnal Material dan Proses Manufaktur) Jurnal AME (Aplikasi Mekanika dan Energi): Jurnal Ilmiah Teknik Mesin Jurnal Teknik Mesin Indonesia International Journal of Advanced Technology in Mechanical, Mechatronics and Material (IJATEC) JTTM: Jurnal Terapan Teknik Mesin Jurnal UNITEK Journal of Scientech Research and Development Journal of the Community Development in Asia International Journal of Innovation in Mechanical Engineering and Advanced Materials Aceh International Journal of Science and Technology Innovative: Journal Of Social Science Research Almikanika
Muhamad Fitri
Universitas Mercu Buana
Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mechanical Engineering Public Health Social Sciences Other

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Journal : IAES International Journal of Artificial Intelligence (IJ-AI)

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Applying Bayesian networks in making intelligent applications for static and dynamic unbalance diagnosis Romahadi, Dedik; Fitri, Muhamad; Feriyanto, Dafit; Hidayat, Imam; Imran, Muhammad
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 13, No 1: March 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v13.i1.pp174-184

Abstract

One of the problems often encountered in vibration analysis is unbalanced or imbalanced, namely the occurrence of a shift in the center of mass from the center of rotation to cause high vibrations. Unbalance itself is divided into two, namely static and dynamic unbalance. Identification of the right type of unbalance must be done because each type of unbalance requires different handling. Therefore, this study aims to design a system to identify the type of unbalance based on the required parameters. The system design determines the input and then builds an algorithm by combining vibration analysis methods and Bayesian networks (BN). Systems and applications are built using MATLAB. After the application is finished, testing is carried out using vibration measurement data obtained from a demo machine that has previously been conditioned for damage. The BN method has been successfully applied to the unbalance diagnosis system. When there is evidence of large amplitude in 1X the frequency spectrum and the value of the static phase range, the percentage of static unbalance from 26.8% increases to 75%. The system can predict all testing data quickly and precisely for the six experiments.
Co-Authors Abdul Hamid Afrian, Roni Agus Hermawan Agus Wibowo Ahmad Supendi AlSanousi, Dalal Alvian, Lutfi Aman Kelpia Andi Firdaus Sudarma Anton Heriawan Anugrah, Hasan Ardian, Rifky Dwi Ariansyah, Nando Arief, Sulaiman Azharuddin Azharuddin, Azharuddin Azizi, M Azizi, Muhammad Azriuddin, Muhammad Bambang Sukiyono Bustomi, Muhammad Ardi Dafit Feriyanto Daisy Mui Hung Kee Dalal AlSanousi Damanik, Fadth Rizky Darwin Sebayang Darwin Sebayang Dedik Romahadi Deni Shidqi Khaerudini Dimas Dwi Saputra Fadila, Muhammad Afif Fajar Anggara Frelly Rizqiansyah Glennart Sahat Rubian Hadi Pranoto Hafidz Salafuddin Hafizzudin, Muhammad Hanifi, Rizal I Gusti Ayu Arwati Imam Hidayat Imam Hidayat Iqbal Risyuma Irawan Malik kara, Reksi Bagas Kee, Daisy Mui Hung Kelpia, Aman Khariri, Muhamad Ervin Kurniawan, Olivia Kurniawan, Rizki Nur Afami M. Azizi Mahendra, Tito Syahril Sobarudin Izha Martua Limido Simanjuntak Maulana Yusuf Md Radwanul Karim Mizan, Adlan Mohamad Abror Muhammad Afiq Zakwan Muhammad Azriuddin Muhammad Edi Laksono Muhammad Hafizzudin Muhammad Imran Muhammad Rizky Imaduddin Noviana, Agus Nurato Nurato Nurato Nurato, Nurato Nurgiansyah, Rama Okki Khusnul Mahmudin Oktaviani, Ana Nur Olivia Kurniawan Pradipta, Nanang K. Pramana, Putratama Aziz Pratama, Andrie Putra Ramadhan, Fajar Gilang R Dwi Pudji Susilo Rafi, Muhammad Miftah Rizki Nur Afami Kurniawan Rizky Fajar Sutrimo Rofiqie, Ahmad Rohmatulloh, Izzi Romahadi, Dedik S. Mahzan Santoso, Dwi Adi Shahruddin Mahzan Shahruddin Mahzan Shahruddin Mahzan Silvia, Vika Sitanggang, Maria Nelly Aprilianti Sudarma, Andi Firdaus Susilo, R Dwi Pudji Susilo, R. Dwi Pudji Tarigan, Kontan Tito Syahril Sobarudin Izha Mahendra Wermasaubun, Hendrikus Wibowo, Agus Setiawan Wirawanto, Teguh Yafiq, Muhammad Sulthan Yudhistira, Gilang Awan Zakaria Zakaria Zakwan, Muhammad Afiq