Current Situation
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.
Technology Deployed
Sensors, smart assets, networks, analytical tools, data management, cognitive, cloud, digital twin, artificial intelligence, machine learning
Use Case Summary
Use analytics to predict asset failure to reduce outages and inspections