Assets are monitored and inspected on a set schedule based on limited performance information compared with historical data. This leads to operations being at risk from unintended events and poor historical data.
Goals and Objectives
Use not only asset data but external data, like weather, OEM data, and benchmarking performance data as an analytical foundation for predicting asset life and maintenance heeds.
Sensors, smart assets, networks, analytical tools, data management, cognitive, cloud
Use Case Summary
Use analytics to predict asset failure to reduce outages and inspections.