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 also external data such as weather data, 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, and cloud
Use Case Summary
Analytics are used to predict asset failure to reduce outages and inspections.