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IoT-based-Electrical-Motor-Fault-Detection-System.pptx
- 1. IoT-based Electrical Motor FaultDetection System Presented By:- Atharva Rajesh Pardeshi PRN:- 24070152019
- 2. Introduction to ElectricMotors and Their Importance Essential for Modern Life Electric motors power countless devices, from household appliances to industrial machinery, driving economic growth and technological advancement. Unveiling the Heart of Industry Electric motors are vital to manufacturing, transportation, and energy generation, playing a crucial role in modern industrial processes.
- 3. Abstract At present, industriesare rapidly shifting towards automation. Today's industrial automations mostly based on programmable controllers and robots. In order to do the tedious work and to serve the mankind, automation is developed in industries. DC motor plays an important role in various industries hence we selected it. This project present a system to provide protection, control and monitoring the condition of DC motor. Here Arduino Uno and various sensors like current, voltage, speed and temperature sensors are used. Real time values of various parameters like current, voltage, temperature and speed can be monitored in ThingSpeak mobile app. By continuous monitoring, the motor can be protected against fault like short circuits, overloading, overheating etc. hence machine performance is improved.
- 4. Methodology 1 Sensor Integration Real-timemonitoring of motor parameters 2 Data Transmission Secure communication via wireless networks 3 AI-Driven Analysis Pattern recognition and fault prediction 4 Alerting and Diagnostics Prompt notifications and comprehensive diagnostics
- 5. Block Diagram 1 Sensors Temperature, vibration,current 2 Data Processing Filtering, normalization 3 Communication Wireless, wired 4 Cloud Platform Fault detection algorithms 5 User Interface Alerts, reports, analysis
- 6. Common Faults inElectric Motors Winding Faults Degradation or damage in the windings can lead to short circuits, overheating, and reduced motor performance. Bearing Failures Wear and tear on bearings can cause increased friction, vibration, and eventually motor seizure. Rotor Bar Problems Issues with the rotor bars, such as cracks or breaks, can lead to uneven torque and reduced efficiency.
- 7. IoT-Based Fault Detection SystemArchitecture Sensors Sensors collect data from the motor, including vibration, temperature, and current readings. Data Gateway The gateway receives data from sensors and transmits it to the cloud platform for processing. Cloud Platform The cloud platform stores, analyzes, and interprets data to identify potential motor faults. User Interface A user interface provides real-time insights and alerts to operators and maintenance personnel.
- 9. Real-World Implementation and CaseStudies 50% Downtime Reduction Implementations have shown significant reductions in downtime and maintenance costs due to proactive fault detection. 20% Increased Efficiency Early detection of faults allows for preventive maintenance, boosting overall motor efficiency and performance. 95% Accuracy IoT-based systems offer high accuracy in detecting motor faults, leading to improved decision-making.
- 10. Limitations of Traditional FaultDetection Methods 1 Reactive Maintenance Traditional methods often rely on periodic inspections, leading to reactive maintenance and potential costly downtime. 2 Limited Scope Many methods lack the ability to monitor critical parameters continuously and detect subtle changes in motor performance. Human Error Manual inspections can be subjective and prone to human error, potentially overlooking early signs of motor problems.
- 11. Advantages 1 Reduced downtime Proactivemaintenance 2 Increased efficiency Optimal motor performance 3 Improved safety Prevent dangerous incidents 4 Lower maintenance costs Avoid costly repairs
- 12. Future Scope Advanced analytics Predictivemaintenance Machine learning Adaptive fault detection Edge computing Real-time data processing
- 13. Potential Applications Manufacturing Optimize productionlines Automotive Improve vehicle performance Renewable energy Monitor wind turbine health
- 14. Challenges Data security Sensitive motordata Network reliability Continuous connectivity Sensor accuracy False alarms and missed faults
- 15. Conclusion IoT-based fault detectionrevolutionizes motor maintenance, leading to increased efficiency, reduced downtime, and improved safety for a wide range of industries.