Assets are monitored and inspected on a set schedule based on limited performance information compared to 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, benchmarking performance data, etc. 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