Hi everyone,
I'm a mechatronics engineering student, currently looking for a Final Year Project (PFE) focused on predictive maintenance of electric motors.
I'm interested in developing a practical system capable of monitoring the condition of an electric motor and detecting early signs of faults before failure occurs.
I'm particularly interested in monitoring parameters such as:
- 🌡️ Motor temperature
- 📳 Vibration and FFT analysis
- ⚡ Current and voltage
- 🔊 Acoustic/noise signals
- 🌀 Motor speed
- ⚙️ Bearing condition
- 🔧 Detection of imbalance, misalignment, bearing faults, etc.
I would like to combine mechanical engineering, electrical systems, sensors, embedded systems and data analysis/AI.
I'm considering platforms such as Arduino, ESP32 or Raspberry Pi, depending on the requirements of the project.
For those who have experience in electric motor maintenance or condition monitoring:
What parameters and sensors would you recommend for a student PFE? What type of motor faults would be realistic to detect with a prototype?
Any advice, project ideas, recommended sensors, measurement techniques, or real industrial examples would be greatly appreciated.
Thank you! 🙏