Condition based machine monitoring enables predictive maintenance
This solution use case, provided by Senseye on the MindSphere® platform, provides production machinery condition monitoring that enables scalable plant wide predictive maintenance.
This real-time analytics engine, tied to condition monitoring for all plant assets, drives lower maintenance costs, increased productivity, a decrease in unplanned downtime and an increase in downtime forecasting accuracy. With better scheduling for downtime, organizations avoid costly break-fix scenarios where production staff is waiting for maintenance to complete emergency repairs.
Maintenance managers and plant managers can align their maintenance and production activity more closely than ever before, improving productivity and driving down costs.
Senseye™ is cloud-based software for Predictive Maintenance. It helps manufacturers and industrial companies to avoid downtime and save money by automatically forecasting machine failure without the need for expert manual analysis.
Senseye offers a range of professional services to deploy this solution, depending on your needs, and accelerate your digital transformation. Services may include consulting, implementation, integration, customization and training.
MindAccess™ IoT Value Plan connects your assets and uses MindSphere applications to leverage your data.
MindService® offers training and professional services to support the development and implementation of your MindSphere solution.
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