The goal is simple: reduce unplanned downtime by avoiding failure while increasing the productive life of your assets. If you can’t avoid the failure, prepare for it with the right personnel and parts, and restore healthy line operation much faster.
Periodic maintenance schedules are wasteful and inefficient. Leveraging advanced data science and machine learning techniques, you can predict equipment failures and plan repair actions well in advance.
Far beyond failure codes, the Asset Health Detection module highlights abnormal patterns directly from multi-variate sensor readings to help with inspection and diagnoses.
See the number of days until an asset is predicted to fail, along with a confidence interval for that prediction, enabling you to turn unexpected downtime events into planned maintenance.