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Volume: 11 Issue 04 April 2025
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Fault Monitoring And Diagnosis Of Wind Turbine
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Author(s):
Prashant Bansode | Yogeshwar Kadam | Vedika Parmar | Prof. Kanchan Shirbhate
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Keywords:
Arduino Uno, Fault Diagnosis, Fault Monitoring, GSM Module, Internet Of Things (IoT)
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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.
Other Details
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Paper id:
IJSARTV11I4102998
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Published in:
Volume: 11 Issue: 4 April 2025
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Publication Date:
2025-04-03
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