Detection of Damage Motor and Coal Crusher in Power Plant Tanjung Enim 3 X 10 MW Using Vibration Analysis

  • Gurruh Dwi Septano Study Programme of Mechanical Engineering, Polytechnic PGRI Banten, Serang, Indonesia
  • Ikbal Ikbal Study Programme of Mechanical Engineering, Polytechnic PGRI Banten, Serang, Indonesia
  • Fathoni Fathoni Study Programme Manufacture Engineering, Pancasila University, Jakarta, Indonesia
  • Sayid Bahri Sriwijaya Study Programme of Mechanical Engineering, Polytechnic PGRI Banten, Serang, Indonesia
  • Salsanabila Mariestiara Putri Study Programme of Electronic Engineering, Polytechnic PGRI Banten, Serang, Indonesia

Abstract

Motor and coal crushers are critical in coal size reduction for efficient energy production. Continuous operation often impacts their functionality, necessitating effective maintenance methods. This study employs vibration analysis to monitor the health and detect potential faults in the motor and coal crusher. Vibration values, measured under load and no-load conditions, were analyzed in vertical, horizontal, and axial directions using ISO 10816 standards. Results show that while vibration levels remained within safe limits, increased readings in specific areas, particularly at the Crusher NDE in axial direction under load conditions, suggest potential issues like misalignment or bearing wear. Prominent vibration peaks at lower frequencies in the spectrum further support these findings. This research underscores the importance of routine vibration monitoring to preemptively address machine faults, ensuring optimized operation and minimized downtime. Vibration analysis proves effective for predictive maintenance and operational reliability in coal processing systems.

Published
Nov 30, 2024
How to Cite
SEPTANO, Gurruh Dwi et al. Detection of Damage Motor and Coal Crusher in Power Plant Tanjung Enim 3 X 10 MW Using Vibration Analysis. Journal of Ocean, Mechanical and Aerospace -science and engineering-, [S.l.], v. 68, n. 3, p. 155-160, nov. 2024. ISSN 2527-6085. Available at: <https://isomase.org/Journals/index.php/jomase/article/view/378>. Date accessed: 11 feb. 2026. doi: http://dx.doi.org/10.36842/jomase.v68i3.378.
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