Signal Processing and Data Acquisition Course
Master vibration signal processing and data acquisition for industrial motors. Learn sensor selection, anti-aliasing, FFT analysis, fault detection, and ADC design to build reliable, high-performance electronics for real-world monitoring systems.

flexible workload from 4 to 360h
valid certificate in your country
What will I learn?
This short, practical Signal Processing and Data Acquisition Course shows you how to design complete vibration monitoring chains from sensor to algorithm. You will learn sensor selection, anti-aliasing and conditioning, ADC and sampling choices, FFT-based spectral analysis, feature extraction, fault detection rules, and data logging strategies so you can build reliable, high-quality diagnostic systems faster.
Elevify advantages
Develop skills
- Design vibration acquisition chains: sensors, anti-alias filters, and ADCs.
- Implement FFT-based analysis: windowing, averaging, and fault indicators.
- Size data throughput: sampling, buffering, and logging for continuous monitoring.
- Select and mount accelerometers: range, sensitivity, noise, and placement effects.
- Build robust detection rules: thresholds, hysteresis, and adaptive baselines.
Suggested summary
Before starting, you can change the chapters and 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 purchased the one-year package and finally have the chance to follow several topics I'm interested in without needing to switch platforms... I appreciate everything you do, I've already recommended you to others...

Giulio CarloDigital Marketing Student
I like how the lessons are 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 supplementary videos really help with learning.

Giulio CarloPrompt Engineering Student
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