Sensor-based Motor Fault Diagnosis and Live Reporting Platform
Keywords:
Electric motor protection, Industrial automation, Motor fault detection, Predictive maintenance, Real-time data monitoringAbstract
Electric motors are required components in industrial operations, and their unexpected failure can cause costly downtime and production delays. The project, “Sensor-based Motor Fault Diagnosis and Live Reporting Platform,” offers a proactive approach to motor health monitoring and fault prevention. It continuously monitors key parameters such as current and voltage, issuing early warnings when abnormal conditions are detected. If critical thresholds are exceeded for a sustained period, the system automatically turns off the motor to prevent severe damage. A live dashboard provides real-time data visualization, allowing operators to remotely track motor performance and respond promptly. This solution enhances safety, minimizes downtime, and promotes efficient motor operation, making it a valuable asset for modern industrial environments.
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