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 such as weather, OEM data, benchmarking performance data, and others 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 of analytics to predict asset failure to reduce outages and inspections