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Risk-based predictive maintenance of medium voltage network switching equipment using analytical hierarchy process as an analytical tool Gumilang, Erick Satriyo; Hudaya, Chairul; Sudiarto, Budi; Husnayain, Faiz
SINERGI Vol 30, No 1 (2026)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/sinergi.2026.1.011

Abstract

Predictive maintenance has become crucial for enhancing the reliability and efficiency of electrical systems, especially for Medium Voltage Network (MVN) switching equipment, which plays a key role in electricity distribution. This study aimed to develop a risk-based predictive maintenance model for MVN switching equipment using the Analytical Hierarchy Process (AHP) for maintenance prioritization, along with Z-score and Monte Carlo simulation methods to evaluate risk likelihood and impact. The Z-score method assessed the probability of risks occurring, revealing a probability exceeding 90% for specific equipment, such as UP2D.2025.C4, at 93.12%. The Monte Carlo simulation assessed the potential impact of these risks, showing severe consequences for various types of equipment. For example, UP2D.2025.C1 had a mean of 28.51 and a standard deviation of 3.50, while UP2D.2025.C8 had a standard deviation of 33.17, with an impact of over 61.53%. AHP was used to assign priority weights to components based on criteria such as equipment age, operational condition, and failure history. The analysis indicated that the Lightning Arrester had the highest maintenance priority at 26.04%, followed by the Fuse Cutout at 20.62% and the Pole-Mounted Circuit Breaker at 11.15%. This research was expected to significantly contribute to the development of more efficient and effective maintenance strategies for electrical systems, particularly in the electricity distribution sector.
Low-cost environmental chamber for battery calendar aging under tropical conditions: design and validation Uvi Desi Fatmawati; Iwa Garniwa; Faiz Husnayain; Danang Lelono; Kuwat Triyana; Amelia Chandra Pratiwi
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 24, No 3: June 2026
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v24i3.27666

Abstract

This study presents a low-cost environmental chamber designed to replicate tropical temperature and humidity conditions for calendar-aging studies of LiFePO₄ lithium iron phosphate (LFP) cells. The system integrates passive insulation with an Arduino-based active control system for real-time monitoring. The design’s novelty lies in its cost-effective ability to maintain tropical-specific profiles, validated against Meteorology, Climatology, and Geophysics Agency (BMKG) meteorological data to ensure correlation with diurnal cycles. Experimental results demonstrate stable operation for 13 consecutive days, with an average temperature of 29.47 °C and a stability metric of ±0.61 °C, keeping 100% of data within the 25–35 °C target. Although relative humidity (RH) showed an average of 76.52%, its stability was quantified by a 96.98% success rate in maintaining the 70–80% target range. The chamber’s suitability for long-term degradation studies was confirmed via a one-month calendar-aging test on a 15 Ah LFP cell, where tha battery capacity decreased from 100% to 99.58%. These results demonstrate that the proposed chamber reliably maintains tropical environmental conditions and is suitable for long-term, low-cost battery aging studies.
Pitch Control of Variable Speed Wind Turbine with Permanent Magnet Synchronous Generator (PMSG) Using Single-Neuron PI Controller Rohadatul ‘Aisya; Faiz Husnayain
International Journal of Electrical, Computer, and Biomedical Engineering Vol. 4 No. 1 (2026)
Publisher : Universitas Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62146/ijecbe.v4i1.165

Abstract

Variable-speed wind turbines with Permanent Magnet Synchronous Generator (PMSG) offer high efficiency in converting wind energy into electrical power. However, under wind conditions exceeding the rated speed, a pitch angle control mechanism is required to maintain output power stability and protect the system from overloading. Pitch angle control is commonly implemented using conventional PI controllers. This study aims to implement a single-neuron PI controller as an adaptive solution for regulating the pitch angle in a PMSG-based wind turbine system. The proposed control method combines the basic structure of a PI controller with adaptive learning based on a single neuron, enabling real-time adjustment of the controller weights based on output power error. The simulation and modeling of the wind energy conversion system are carried out using MATLAB/Simulink, including the modeling of the wind turbine, PMSG, conventional PI-based pitch control, and single-neuron PI-based pitch control. Simulation results demonstrate that the single-neuron PI controller effectively maintains the output power close to the reference value, with minimal deviation and high stability across various wind speeds exceeding the rated condition. Compared to the conventional PI controller, this method offers superior adaptability to system parameter variations and dynamic wind speed changes.
The Efficiency of Voltage Stabilizer Installation in Addressing Power Quality Issues through Analysis Using an Injection Power Analyzer in the Manufacturing Industry of PT XYZ Varin Pasaribu; Faiz Husnayain
International Journal of Electrical, Computer, and Biomedical Engineering Vol. 4 No. 1 (2026)
Publisher : Universitas Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62146/ijecbe.v4i1.173

Abstract

In today's modern era, electrical energy has become a vital secondary need for society and serves as a key foundation for economic development. Along with the rapid advancement of complex electronic devices, various power quality disturbances have emerged, negatively impacting industrial equipment such as active line modules and motor drivers, potentially disrupting production processes. A similar issue occurred at PT XYZ, prompting real-time power quality monitoring using a power analyzer installed on the LVMDB panel. This device can record and analyze power quality trends visually. Based on the data, PT XYZ took corrective actions, including adjusting the tap changer position from 3 to 1 and installing a voltage stabilizer, which effectively stabilized the voltage supplied to production machines. Furthermore, a harmonic analysis simulation showed a Total Harmonic Distortion of 8,35% for current and 7,92% for voltage. After applying a power filter design in ETAP, these values significantly decreased to 1.98% (current) and 2.08% (voltage). Based on these findings, it is recommended that PT XYZ proceed with the installation of a power filter to comprehensively improve power quality.