Assets are monitored and inspected on a set schedule based on limited performance data in conjunction with historical inputs. This leads to maintenance being at risk of unplanned events.
Goals and Objectives
The use of not only asset data but also external data, like weather, OEM data, and benchmarking performance data provides and analytical foundation for predicting asset life and maintenance needs.
– Hardware: Servers, storage, IoT, smartphones, tablets, and wearables
– Software: AR/VR, cognitive/AI, cloud, social, mobile, ERP, SLM, edge computing, and digital twin
– Services: IT services
Use Case Summary
Analytics can be used to predict asset failures and degraded performance to reduce unplanned downtime and mean time to failure.