Machine Learning Course for Mechanical Engineers
This course equips mechanical engineers with machine learning skills to predict and prevent pump failures using real sensor data, covering fundamentals, model development, and practical deployment for optimized maintenance.
flexible workload of 4 to 360h
valid certificate in your country
What will I learn?
This targeted Machine Learning Course for Mechanical Engineers demonstrates how to utilise actual pump data to reduce downtime and maintenance expenses. You will learn basics of centrifugal pumps, types of sensors and signals, feature engineering, and predictive models customised for rotating machinery. The course includes deployment, dashboards, and decision processes to shift from reactive repairs to dependable, data-informed pump performance.
Elevify advantages
Develop skills
- Pump failure diagnosis: quickly identify cavitation, seal leaks, and bearing wear.
- Sensor data setup: set up vibration, temperature, and flow signals for ML.
- ML model building: train and validate predictive maintenance models for pumps.
- Feature engineering: derive time and frequency features from pump signals.
- Design optimisation: apply ML insights to improve pump design and maintenance strategies.
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 workloadWhat our students say
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