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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 : International Journal of Electrical and Computer Engineering

 1 
Multi-way Array Decomposition on Acoustic Source Separation for Fault Diagnosis of a Motor-Pump System Anindita Adikaputri Vinaya; Dhany Arifianto
International Journal of Electrical and Computer Engineering (IJECE) Vol 7, No 6: December 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (754.048 KB) | DOI: 10.11591/ijece.v7i6.pp3052-3059

Abstract

In this study, we propose a multi-way array decomposition approach to solve the complexity of approximate joint diagonalization process for fault diagnosis of a motor-pump system. Sources used in this study came from  drive end-motor, nondrive end-motor , drive end pump , and nondrive end pump. An approximate joint diagonalization is a common approach to resolving an underdetermined cases in blind source separation. However, it has quite heavy computation and requires more complexity. In this study, we use an acoustic emission to detect faults based on multi-way array decomposition approach. Based on the obtained results, the difference types of machinery fault such as misalignment and outer bearing fault can be detected by vibration spectrum and estimated acoustic spectrum. The performance of proposed method is evaluated using MSE and LSD. Based on the results of the separation, the estimated signal of the nondrive end pump is the closest to the baseline signal compared to other signals with  LSD is 1.914 and MSE is 0.0707. The instantaneous frequency of the estimated source signal will also be compared with the vibration signal in frequency spectrum to test the effectiveness of the proposed method.
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