Health Monitoring System for Generators Using AI Techniques

https://doi.org/10.65136/jati.v4i1.271
Generator health monitoring ANN-based monitoring Partial discharge generator temperature fuzzy logic

Authors

  • Pritish Subrata Dey School of Engineering Asia Pacific University of Technology and Innovation (APU) Kuala Lumpur, Malaysia
  • Chandrasekharan Nataraj
    chander@apu.edu.my
    School of Engineering Asia Pacific University of Technology and Innovation (APU) Kuala Lumpur, Malaysia
  • Jacqueline Lukose School of Engineering Asia Pacific University of Technology and Innovation (APU) Kuala Lumpur, Malaysia
Vol. 4 No. 3 (2020)
Original Research
January 28, 2026

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The development of a health monitoring system for electrical generators using AI techniques is presented. It focuses on Integrating AI techniques with Fuzzy based monitoring system for Generators health monitoring. Two AI systems such as ANN and FLS are simulated and tested to evaluate the performance monitoring for generators. A comparison between the two AI methods are done. Fuzzy Logic System was found to have a higher efficiency over ANN. For the possible causes of the fault, ANN and FLS have produced 70% and 100% efficient respectively.