The most advanced asset management strategies usually involve condition-based monitoring, but there is limited ability to predict failures.
Goals and Objectives
Higher levels of asset availability results in less factory downtime and lower capital appropriation spending. Cost of maintenance delivery will be lower.
Cognitive, IoT, and mobile
Use Case Summary
Machine learning algorithms that build an accurate predictive model of potential failures