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Volume: 11 Issue 05 May 2025


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Iot Based Enhanced Fault Detection And Real Time Monitoring For Underground Cables

  • Author(s):

    Mr.P.Gopinathan | Anupriya.S | Madhumitha.S | Sandhiya.A | Selvalakshmi.G

  • Keywords:

    Underground Cables , Fault Detection ,IoT,IoT-based Monitoring, Overheating Detection,Fault Localization, Embedded Systems, Diagnostic Techniques

  • Abstract:

    The Detection Of Faults In Underground Cables Is Crucial For Maintaining The Reliability And Efficiency Of Electrical Power Distribution Systems. Traditional Methods Of Detecting Faults In Underground Cables Often Involve Manual Inspection, Which Is Time-consuming, Costly, And Inefficient. To Address These Challenges, The Integration Of Internet Of Things (IoT) Technologies Offers A Promising Solution For Real-time Monitoring And Fault Detection. Unist Embedded Systems Have Taken The Initiative To Design And Develop A Comprehensive IoT-based Underground Cable Fault Detection System, Which Allows For Continuous Monitoring And Immediate Identification Of Cable Issues. This IoTbased System Involves The Installation Of Sensors At Strategic Locations Along The Underground Cable Network. The System Uses Advanced Diagnostic Techniques Such As Impedance Measurement And Temperature Analysis To Detect Faults Like Cable Insulation Failure, Short Circuits, And Overheating, Which Can Lead To Failures If Left Unaddressed. The Real-time Monitoring Capability Of The IoT System Enhances The Reliability Of The Cable Network By Providing Timely Alerts Whenever A Fault Occurs. The System Is Capable Of Pinpointing The Exact Location Of The Fault, Significantly Reducing The Time And Cost Involved In Locating And Repairing The Problem. Additionally, The System's Remote Monitoring Feature Allows Maintenance Personnel To Respond Quickly To Issues,thus Preventing Power Outages Or Further Damage To The Network.

Other Details

  • Paper id:

    IJSARTV11I5103487

  • Published in:

    Volume: 11 Issue: 5 May 2025

  • Publication Date:

    2025-05-07


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