2022
DOI: 10.21776/ub.jrm.2022.013.01.5
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Perancangan Sistem Diagnosis Getaran Motor Menggunakan Jaringan Saraf Tiruan Propagasi Mundur

Abstract: Expert system design is an effective and sophisticated way of diagnosing a fault in a 12 kW DC Motor. This study aims to design an ANN system to determine damage to the motor. The research method uses spectrum data from the vibration analyzer which is collected based on different types of damage. The training data patterns from the spectrum characteristics to be used in the system, the goal is that the systems can recognize the patterns that have been made. The training data patterns that have been successfull… Show more

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Cited by 2 publications
(2 citation statements)
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“…Vibration analysis is an effort to reduce damage to machine components that spread to other machine components [6]- [8] . Impact vibration measurement allows for faster and more accurate fault detection [9], [10] . Signal processing techniques time domain statistical analysis and Fourier transform methods used for signal analysis and fault diagnosis [11] .…”
Section: Introductionmentioning
confidence: 99%
“…Vibration analysis is an effort to reduce damage to machine components that spread to other machine components [6]- [8] . Impact vibration measurement allows for faster and more accurate fault detection [9], [10] . Signal processing techniques time domain statistical analysis and Fourier transform methods used for signal analysis and fault diagnosis [11] .…”
Section: Introductionmentioning
confidence: 99%
“…Dalam pengukuran getaran mesin, amplitudo getaran terdiri dari displacement (perpindahan), velocity (kecepatan), dan acceleration (percepatan) serta dapat dinyatakan peak to peak (Pk-Pk), Peak (Pk), average, dan root mean square (RMS). Dalam pegukuran getaran metode yang diterapkan untuk analisis penelitian adalah metode fast fourier transform (FFT), FFT merupakan teknik perhitungan matematika yang digunakan untuk mentrasformasi sinyal digital berbasis frekuensi [4] [5]. Penggunaan perangkat lunak telah dilakukan untuk memprediksi natural frekuensi pada modul mesin berputar saru disc [6].…”
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