Hydraulic system condition monitoring

The brief

A plant runs hydraulic test rigs and wants to know when a component starts to degrade. Using pressure, flow and temperature sensors, predict the condition of the cooler, valve, pump and accumulator. Good looks like: accurate condition estimates for each component and the sensors that matter most for each.

What you will build

1. Load and align the multi-rate sensor signals
2. Summarise each cycle with statistical features
3. Train a classifier per component
4. Find the most useful sensors
5. Write a short maintenance guide from the results

Free, open data to build it with

• Condition Monitoring of Hydraulic Systems ↗ UCI Machine Learning Repository

Check each dataset's licence before you publish your work. Your mentor gives your team its own version of the brief (data, scope or region), so every team's project is its own.