Signal Processing and Data Acquisition Course
Master vibration signal processing and data acquisition for industrial motors. Gain skills in sensor selection, anti-aliasing filters, ADC choices, FFT spectral analysis, feature extraction, fault detection rules, and data logging to create reliable, high-performance monitoring systems quickly and effectively.

4 to 360 hours flexible workload
valid certificate in your country
What will I learn?
This practical course teaches designing full vibration monitoring systems from sensors to algorithms. Learn sensor selection, anti-aliasing, signal conditioning, ADC and sampling, FFT analysis, feature extraction, fault detection, and data logging for building high-quality diagnostic systems efficiently.
Elevify advantages
Develop skills
- Design vibration acquisition chains with sensors, anti-alias filters, and ADCs.
- Implement FFT-based analysis using windowing, averaging, and fault indicators.
- Size data throughput for sampling, buffering, and logging in continuous monitoring.
- Select and mount accelerometers considering range, sensitivity, noise, and placement.
- Build robust detection rules with thresholds, hysteresis, and adaptive baselines.
Suggested summary
Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
Your classes are perfect. I got the one-year package and finally have the chance to follow a range of topics I'm interested in without having to switch platforms... thank you for everything you do, I've already recommended you to others...

Giulio CarloDigital Marketing Student
I like how the lessons get straight to the point and how I can switch chapters and skip content I don't need.

Mariana FerresPhotography Student
I like the content and the way the videos are presented and transcribed, which speeds up the process!

Luciana AlvarengaNail Design Student
The platform is fast and easy to use. The variety of content and the extra videos really help with learning.

Giulio CarloPrompt Engineering Student
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