Klasifikasi Status Idle dan Kerja Wheel Loader WA350 Berbasis Akselerometer Tunggal
DOI:
https://doi.org/10.33795/elposys.v12i3.8794Keywords:
Hour meter, accelerometer, Wheel Loader, RMS, Condition MonitoringAbstract
Conventional hour meters on heavy equipment accumulate engine-ON time without distinguishing productive working from non-productive idle, which can bias preventive maintenance scheduling. This study evaluates the feasibility of separating idle and working conditions of a Komatsu WA350 wheel loader using a single tri-axial accelerometer. Vibration data were recorded at 700, 900, 1100, and 1300 rpm under two scenarios: engine-on with bucket stationary (idle) and engine-on with bucket actuation without load (working). The main indicator is the time-domain Root Mean Square (RMS) on AccX, AccY, and AccZ to represent vibration energy per axis, supported by low-frequency spectral inspection for interpretation. For paired comparison, the analysis focuses on 700–1100 rpm because the 1300 rpm dataset does not include a verified idle counterpart. The results show that AccX provides the most consistent separation, where RMS in working increases by approximately 10–13% compared to idle at 700–1100 rpm, while AccY is less stable and AccZ changes are minimal. These findings support a simple RMS-based logic as a practical basis for smart hour-metering to better reflect operational workload and improve service notification timing. Limitations include controlled test conditions (no-load bucket cycles) and a single mounting location; broader validation under varied loads, terrains, and operators is required.
References
Komatsu, Shop Manual Wheel Loader WA350. Tokyo: Komatsu Ltd., [2000]
R.B. Randall, Frequency Analysis. Nærum, Denmark : Brüel & Kjær, 1987.
Y. A. Prabowo and L. E. U. M. Putra, “Perancangan hour meter berbasis Internet of Things menggunakan logika fuzzy,” JIRE, vol. 5, no. 1, pp. 53–61, Apr. 2022.
I. Noor, “Perancangan preventive maintenance alat berat di PT Kalimantan Prima Persada,” Jurnal JIEOM, vol. 3, no. 2, pp. 17–25, Nov. 2020.
A. Y. D. Yudanur and S. Sugiyanto, “Sistem monitoring tegangan, arus, dan suhu pada unit alat berat berbasis IoT,” Jurnal Teknik Mesin Indonesia, vol. 19, no. 1, pp. 66–71, Apr. 2024.
L. Magadán, F. J. Suárez, J. C. Granda, and D. F. García, “Low-cost industrial IoT system for wireless monitoring of electric motors condition,” Mobile Networks and Applications, vol. 28, pp. 97–106, 2023.
A. Destio, R. Hartono, and A. Umron, “Analisis efisiensi performa daya mampu mesin SWD 6TM410,” JITT, vol. 2, no. 1, pp. 106–112, 2024.
H. Saghaei, “Design and implementation of a fleet management system using novel GPS/GLONASS tracker and web-based software,” in Proc. Int. Conf. New Research Achievements in Electrical and Computer Engineering, 2016.
M. A. Farahpoor, O. Esparza, and M. C. Soriano, “Comprehensive IoT-driven fleet management system for industrial vehicles,” IEEE Access, vol. 12, pp. 193429–193444, 2024.
J. Linggarjati, “Design and prototyping of temperature monitoring system for hydraulic cylinder in heavy equipment using ESP32 with data logging and WiFi connectivity,” IOP Conf. Ser.: Earth Environ. Sci., vol. 998, p. 012042, 2022.
M. H. Mohd Ghazali and W. Rahiman, “Vibration analysis for machine monitoring and diagnosis: A systematic review,” Shock and Vibration, vol. 2021, Art. ID 9469318, pp. 1–25, 2021.
C. Zhang et al., “Vibration feature extraction using signal processing techniques for structural health monitoring: A review,” Mechanical Systems and Signal Processing, vol. 177, p. 109175, Sep. 2022.
N. Islam et al., “Condition monitoring of critical industrial assets using high performance MEMS accelerometers,” Measurement, vol. 178, p. 109379, Dec. 2021.
P. Lipinski, J. Sawicki, R. Sadowski, J. Stefanski, and M. Topolinski, “Decision tree-based classification for planetary gearbox fault diagnosis in non-stationary operating conditions,” Sensors, vol. 20, no. 21, p. 5979, Oct. 2020.
H. Aguirre-Jofré, M. Eyre, S. Valerio, and D. Vogt, “Low-cost Internet of Things (IoT) for monitoring and optimising mining small-scale trucks and surface mining shovels,” Automation in Construction, vol. 131, p. 103918, Nov. 2021
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 Elposys: Jurnal Sistem Kelistrikan

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.




