Contamination Assessment of 150-kV Ceramic Insulators Based on ESDD and NSDD Using a Mamdani Fuzzy Logic Approach
DOI:
https://doi.org/10.67795/jesai.v1i1.4Keywords:
Ceramic insulators, Contamination assessment, Mamdani fuzzy logic, Flashover voltage, Condition-based maintenanceAbstract
The reliability of high-voltage transmission systems is significantly affected by contamination on ceramic insulators, which reduces dielectric strength and increases flashover risk. This study proposes a Mamdani Fuzzy Logic approach to assess contamination severity on 150-kV ceramic insulators along the Koto Panjang–Payakumbuh transmission line. The 86-km transmission line consists of 248 towers, with approximately 82% of flashover incidents occurring in hilly areas. The fuzzy inference system was developed in MATLAB using the Equivalent Salt Deposit Density (ESDD) as the primary input parameter to estimate flashover voltage. Experimental results indicate that increasing ESDD decreases flashover voltage from 346.8 kV at 160.8 mg/cm² to 341.2 kV at 284.4 mg/cm², demonstrating that higher contamination severity increases flashover susceptibility. The proposed model achieved a prediction accuracy of 94%, while the agreement between calculated and experimental results reached 83%. These findings demonstrate that the Mamdani Fuzzy Logic model provides an effective and reliable tool for contamination assessment and supports condition-based maintenance of high-voltage transmission insulators.
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Copyright (c) 2026 Sitti Amalia, Andre Febrian Kasmar, Antonov Antonov , Ardi Syawaldipa, Zulkarnaini Zulkarnaini, Erhaneli, Dwi Harinitha
This work is licensed under a Creative Commons Attribution 4.0 International License.
