DETECTION OF BEARING DAMAGE AT GT EXHAUST BLOWER USING VIBRATION SIGNAL ANALYSIS

Mochamad Bhakti Prasastia Utama, NPM. 178070004 (2022) DETECTION OF BEARING DAMAGE AT GT EXHAUST BLOWER USING VIBRATION SIGNAL ANALYSIS. Thesis(S2) thesis, UNIVERSITAS PASUNDAN.

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Abstract

An ideal machine converts all of its input energy into work. In reality, no machine operates as an ideal machine because some energy converts into other forms of energy such as heat or vibration. Vibrations from the machine will form a signal that can be detected by the CSI Analyzer 2130 tool to produce a vibration signal. The signal can be analyzed as damage to the machine from this vibration. Like the damage done to the exhaust blower pads. The study analyzed vibrational signals in damaged bearings by monitoring pk-pk signals in high-frequency areas, the difference was seen in the shape of the spectral signal and vibrational waveform. In addition, the overall value also shows an increase in the exhaust blower pad. The overall value produced on the damaged bearings can reach more than 10 G-s on the pk-pk side. In contrast to bearing under normal conditions with an overall value of 0.187 G-s. The overall value of the damaged bearing has exceeded the vibration limit of 1.80 G-s. Keywords: CSI Analyzer 2130, Vibration, Frequency, Spectrum, Waveform, Bearing, Exhaust blower.

Item Type: Thesis (Thesis(S2))
Subjects: RESEARCH REPORT
Divisions: Pascasarjana > S2-Teknik Mesin 2022
Depositing User: asep suryana
Date Deposited: 31 Jan 2022 02:53
Last Modified: 31 Jan 2022 02:53
URI: http://repository.unpas.ac.id/id/eprint/55445

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