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All Journal International Journal of Electrical and Computer Engineering Jurnal Teknik ITS IPTEK Journal of Proceedings Series Bulletin of Electrical Engineering and Informatics Rekayasa Mesin INOVTEK POLBENG Jurnal Pengabdian kepada Masyarakat
Anindita Adikaputri Vinaya
Universitas Internasional Semen Indonesia
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Environmental Science Languange, Linguistic, Communication & Media Mechanical Engineering Public Health Social Sciences Other

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Journal : IPTEK Journal of Proceedings Series

 1 
Fault Diagnosis of Rotating Machinery based on Acoustic Emission using PARAFAC-Source Separation Anindita Adikaputri Vinaya; Dhany Arifianto
IPTEK Journal of Proceedings Series No 1 (2015): 1st International Seminar on Science and Technology (ISST) 2015
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (347.535 KB) | DOI: 10.12962/j23546026.y2015i1.1174

Abstract

A common technique of vibration spectrum analysis is used for fault diagnosis of rotating machine in industry. The technique, however, requires a significant man power and has the risk of the direct measurement of vibration signal. This paper presents a remote maintenance technique based on acoustic emission of rotating machinery. The mixing matrix and the source signals are estimated using PARAFAC source separation by performing PARAFAC decomposition algorithm, permutation, and capon beamforming. This proposed technique prove the suitability and effectiveness of acoustic emission technique to diagnose Ball Pass Frequency of The Outer Race (BPFO) defect and misalignment coupling motor to pump.
Co-Authors Aciandra , Tiffani Febiola Adhitya Febriansyah Agus Masroeri Aulia Siti Aisjah Aurillia Iftitah Putriana Revanggi - Aviva, Nurul Dwi Ellisa Kusuma Dewi Mardhiyyah, Yunita Siti Nugrahani, Elita Fidiya Prasetyo, Andhika Eko Qurrotin A’yunina Maulida Okta Arifianti Sefri Yulianto Ummatin, Kuntum Khoiro