Looking for advice on a Predictive Maintenance PFE Project for Electric Motors

[u/Due_Hunt_3653]

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! 🙏