By performing routine calendar-based maintenance checks.

By upgrading firmware weekly to prevent any type of mechanical issue.

By continuously monitoring equipment conditions in real time and triggering alerts when needed.

By using machine learning algorithms trained on historical failure data.

By using random sampling to estimate equipment status.

By replacing components at fixed intervals.

By disconnecting equipment periodically to test for failures manually.

By leveraging sensor fusion.