Optimisation of Overload and Overcurrent Protection to Improving Operational Efficiency of Cone Crusher Motor

The mining industry occupies a pivotal position in the global economy, particularly in terms of supplying indispensable raw materials. A primary challenge confronting this industry is the imperative to preserve the reliability and operational efficiency of equipment, notably electric motors utilized in cone crusher machinery. The presence of overload and overcurrent issues in motors has the potential to induce operational disruptions, a decline in efficiency, and the prospect of irreversible damage. This research endeavors to optimize the overload and overcurrent protection system on the cone crusher motor to enhance operational efficiency at PT Amman Mineral Nusa Tenggara. The proposed methodology involves the utilization of MATLAB Simulink software, employing models of "Asynchronous Machine," "Thermal Overload Relay," and "Overcurrent Relay." The simulation results, as depicted by MATLAB Simulink, reveal that the initial start-up current reaches 988.86 A at 0.01 seconds, subsequently stabilizing within the range of 80-121 A. This value exceeds the nominal capacity of the motor, which can lead to overheating and increased operational costs. Subsequent to optimization through the resetting of the protection parameters, including adjustments to the pickup current and time-current curve, the risk of unnecessary trips can be mitigated.

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Publication Details

Journal
Jurnal EECCIS (Electrics Electronics Communications Controls Informatics Systems)
Published
2025-04-13
DOI
https://doi.org/10.21776/jeeccis.v19i1.1764
Primary Topic
Mineral Processing and Grinding
Type
article
Field-Weighted Citation Impact
0.00
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article

Optimisation of Overload and Overcurrent Protection to Improving Operational Efficiency of Cone Crusher Motor

Muhammad Fadillah Kurniawan, Rini Nur Hasanah, Tri Nurwati
Jurnal EECCIS (Electrics Electronics Communications Controls Informatics Systems)
Mineral Processing and Grinding
article

Optimisation of Overload and Overcurrent Protection to Improving Operational Efficiency of Cone Crusher Motor

Muhammad Fadillah Kurniawan, Rini Nur Hasanah, Tri Nurwati
article en

Abstract

The mining industry occupies a pivotal position in the global economy, particularly in terms of supplying indispensable raw materials. A primary challenge confronting this industry is the imperative to preserve the reliability and operational efficiency of equipment, notably electric motors utilized in cone crusher machinery. The presence of overload and overcurrent issues in motors has the potential to induce operational disruptions, a decline in efficiency, and the prospect of irreversible damage. This research endeavors to optimize the overload and overcurrent protection system on the cone crusher motor to enhance operational efficiency at PT Amman Mineral Nusa Tenggara. The proposed methodology involves the utilization of MATLAB Simulink software, employing models of "Asynchronous Machine," "Thermal Overload Relay," and "Overcurrent Relay." The simulation results, as depicted by MATLAB Simulink, reveal that the initial start-up current reaches 988.86 A at 0.01 seconds, subsequently stabilizing within the range of 80-121 A. This value exceeds the nominal capacity of the motor, which can lead to overheating and increased operational costs. Subsequent to optimization through the resetting of the protection parameters, including adjustments to the pickup current and time-current curve, the risk of unnecessary trips can be mitigated.

Jurnal EECCIS (Electrics Electronics Communications Controls Informatics Systems)Vol. 19(1)
University of Sfax (TN), University of Brawijaya (ID), National Engineering School of Tunis (TN)
Industry, innovation and infrastructure
Openalex Percentile: Top 80%
Mineral Processing and Grinding
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Optimisation of Overload and Overcurrent Protection to Improving Operational Efficiency of Cone Crusher Motor — Muhammad Fadillah Kurniawan, Rini Nur Hasanah, et al. · Jurnal EECCIS (Electrics Electronics Communications Controls Informatics Systems) (2025) | TGRS Research Map | TGRS