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Intelligent system design for identification of unbalance and misalignment using Fuzzy Logic methods

Sinergi · Vol. 28 No. 2 (2024) · hlm. 241–250

DOI
10.22441/sinergi.2024.2.004
ISSN
2460-1217, 1410-2331
Terbit
2024-04-18
Penerbit
Universitas Mercu Buana
Bahasa
eng

Abstrak

Vibration analysis identifies emerging vibration problems before they become unmanageable and cause unforeseen delays. This can be accomplished by monitoring engine vibration continuously or at specific intervals. Unbalance is a common vibration issue caused by the center of mass shifting from the center of rotation, leading to misalignment and excessive vibration between shafts. To prevent this, manual monitoring is required, but it is time-consuming. Therefore, intelligent system monitoring is necessary to save time. Using a large amount of vibration, spectrum, and phase data as input, this project aims to develop a diagnostic application for motor problems based on vibration signals. Fuzzy logic is implemented in MATLAB software to process a considerable amount of input data for all vibrations, spectrums, and phases using the fuzzy logic method. A vibration meter is used to collect vibration data from the demonstration machine. All input data will be processed by the fuzzy system based on predefined fuzzy rules that must provide accurate results for the actual operating conditions of the demonstration machine. Conducting experiments will help the intelligent system correctly detect damage from misalignment and imbalance. The intelligent fuzzy logic system can accurately diagnose damage caused by misalignment and unbalance on the demonstration machine.

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  • Mercu Buana University
  • Beijing Institute of Technology
  • Muhammadiyah University of Yogyakarta
  • Ungku Omar Polytechnic
  • Nanjing University of Science and Technology
  • National Taiwan University of Science and Technology
  • National University of Malaysia
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Rekan penulisOrganisasiArtikel bersama
Hadi PranotoMercu Buana University9
Rikko Putra YouliaMercu Buana University7
Aberham Genetu FelekeBeijing Institute of Technology6
Supaat ZakariaUngku Omar Polytechnic6
Nurato NuratoMercu Buana University5
Hui XiongBeijing Institute of Technology5
Wiwit SuprihatiningsihMercu Buana University4
Alief Avicenna LuthfieMercu Buana University4
Muhamad FitriMercu Buana University4
Yosua Heru IrawanNational Taiwan University of Science and Technology3
L. B. Desti DorionNanjing University of Science and Technology2
Andi AdriansyahMercu Buana University2
Abdi WahabMercu Buana University2
Nur IndahNational University of Malaysia2
Rachmat MuwardiMercu Buana University2
Imam HidayatMercu Buana University2
Muhammad ImranBeijing Institute of Technology2
Andi Firdaus SudarmaMercu Buana University2
Hifdzul Luthfan HabibullahMercu Buana University2
Agung Wahyudi BiantoroMercu Buana University2
Tri Wahyu AdinartoMercu Buana University2
Fatkur RachmanuPoliteknik Enjinering Indorama2
Imam HidayatMercu Buana University2
S.S. AbdulmalikAfiliasi tidak diketahui2
Nanang RuhyatMercu Buana University1
Solli Dwi MurtyasKyushu University1
Hanif GhufronMercu Buana University1
Abdul Mutalib LemanTun Hussein Onn University of Malaysia1
Muhammad NadjibMuhammadiyah University of Yogyakarta1
Wahyudi WahyudiMuhammadiyah University of Yogyakarta1
Diah UtamiMercu Buana University1
Yang XiaweiNorthwestern Polytechnical University1
Yudha Aji PramonoMercu Buana University1
Muhammad ImranBeijing Institute of Technology1
Himawan S. WibisonoMercu Buana University1

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Sumber metadata: OAI-PMH (metadata jurnal) https://publikasi.mercubuana.ac.id/index.php/sinergi/oai, pertama di-harvest 10 Nov 2026, terakhir terlihat 10 Nov 2026.
Metadata asli (oai_dc) 
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	<dc:title xml:lang="en-US">Intelligent system design for identification of unbalance and misalignment using Fuzzy Logic methods</dc:title>
	<dc:creator>Romahadi, Dedik</dc:creator>
	<dc:creator>Feriyanto, Dafit</dc:creator>
	<dc:creator>Anggara, Fajar</dc:creator>
	<dc:creator>Wijaya, Fathoni Putra</dc:creator>
	<dc:creator>Dong, Wang</dc:creator>
	<dc:subject xml:lang="en-US">Fuzzy Logic</dc:subject>
	<dc:subject xml:lang="en-US">Intelligent system</dc:subject>
	<dc:subject xml:lang="en-US">Misalignment</dc:subject>
	<dc:subject xml:lang="en-US">Unbalance</dc:subject>
	<dc:description xml:lang="en-US">Vibration analysis identifies emerging vibration problems before they become unmanageable and cause unforeseen delays. This can be accomplished by monitoring engine vibration continuously or at specific intervals. Unbalance is a common vibration issue caused by the center of mass shifting from the center of rotation, leading to misalignment and excessive vibration between shafts. To prevent this, manual monitoring is required, but it is time-consuming. Therefore, intelligent system monitoring is necessary to save time. Using a large amount of vibration, spectrum, and phase data as input, this project aims to develop a diagnostic application for motor problems based on vibration signals. Fuzzy logic is implemented in MATLAB software to process a considerable amount of input data for all vibrations, spectrums, and phases using the fuzzy logic method. A vibration meter is used to collect vibration data from the demonstration machine. All input data will be processed by the fuzzy system based on predefined fuzzy rules that must provide accurate results for the actual operating conditions of the demonstration machine. Conducting experiments will help the intelligent system correctly detect damage from misalignment and imbalance. The intelligent fuzzy logic system can accurately diagnose damage caused by misalignment and unbalance on the demonstration machine. </dc:description>
	<dc:publisher xml:lang="en-US">Universitas Mercu Buana</dc:publisher>
	<dc:date>2024-04-18</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:type xml:lang="en-US">Peer-reviewed Article</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://publikasi.mercubuana.ac.id/index.php/sinergi/article/view/21793</dc:identifier>
	<dc:identifier>10.22441/sinergi.2024.2.004</dc:identifier>
	<dc:source xml:lang="en-US">SINERGI; Vol. 28 No. 2 (2024); 241-250</dc:source>
	<dc:source>2460-1217</dc:source>
	<dc:source>1410-2331</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://publikasi.mercubuana.ac.id/index.php/sinergi/article/view/21793/8225</dc:relation>
	<dc:relation>https://publikasi.mercubuana.ac.id/index.php/sinergi/article/view/21793/11673</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2024 SINERGI</dc:rights>
</oai_dc:dc>