The most advanced asset management strategies usually involve condition-based monitoring, but there is limited ability to predict failures.
Goals and Objectives
High levels of asset availability resulting in less downtime and interrupted production; reduced cost of maintenance delivery
Cognitive, IoT, mobility
Use Case Summary
Machine learning algorithms are built on accurate predictive models of potential failures.