IBM Maximo® APM - Predictive Maintenance Insights, part of the IBM Maximo Asset Performance Management (APM) suite, helps maintenance managers predict the likelihood of future failures and determine asset failure factors that could impact plant or business operations. It uses Watson™ to look for patterns in asset data, usage and the environment, and correlates with any known issues to help predict failures.
Key capabilities of Predictive Maintenance
Uses data from IoT sensors, OT, EAM and ERP systems
Includes five out-of-the-box, popular predictive model templates and associated visualizations
Includes a comprehensive library of analytics APIs to build custom models
Scores predictive models using Watson Machine Learning
Model scores are easily integrated with Asset Health Insights for improved condition monitoring
Predict asset failure and initiate action to avoid breakdowns.
Reduce maintenance costs
Avoid over-maintaining assets by enabling scheduled maintenance before failure based on early warnings.
Improve asset utilization
Enable more efficient use of existing assets when you can predict maintenance issues and reduce failures on the job.
Extend asset life
Identify operational performance factors and improve maintenance practices and reliability.
Increase production output
Helps make industrial manufacturing, production processes and products more efficient and dependable to deliver higher output.
Predictive maintenance for critical equipment is driving rapid adoption of Industrial IoT and analytics. Adding cloud with support for a variety of devices is the right move for IBM Maximo APM - Predictive Maintenance.