Fault Monitoring And Diagnosis Of Wind Turbine

Abstract

Wind Turbines Play A Crucial Role In Renewable Energy Generation But Are Prone To Mechanical And Electrical Faults, Leading To Reduced Efficiency And High Maintenance Costs. This Paper Presents A Real-time Fault Monitoring And Diagnosis System Using Arduino Uno, Temperature, Vibration, And IR Sensors, Along With Wi-Fi (ESP8266/ESP32) And GSM (SIM800L/SIM900A) Modules For Remote Data Transmission Via Thing Speak Cloud. The System Continuously Monitors Turbine Parameters, Detects Faults Early, And Provides Real-time Alerts To Minimize Downtime And Optimize Maintenance Schedules. This Approach Enhances Turbine Reliability, Efficiency, And Operational Performance, Making Wind Energy Systems More Sustainable And Cost-effective.

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