IBM Maximo Application Suite: Predictive maintenance
Improve asset reliability with condition-based predictive maintenance based on asset health insights from operational data and analytics
Overview
Putting asset data to work
IBM Maximo®
Predict
Unify disparate operational data into analytics-driven predictive maintenance models that help you optimize maintenance planning to improve asset reliability.
IBM Maximo®
Health
Understand the status of critical business assets with insights from data and analytics to make smarter decisions about management and maintenance.
IBM Maximo
Predict
Predict asset failures
Go beyond time-scheduled maintenance to condition-based action to predict the likelihood of future failures by applying machine learning and data analytics to reduce asset failures and their costs. Now part of the integrated IBM Maximo® Application Suite, Maximo Predict looks for patterns in asset data, usage and the environment, and correlates those patterns with any known issues to help reliability engineers and maintenance managers predict failures and share data and scoring.
Key capabilities of Maximo Predict
- Uses data from IoT sensors, operations, IT and EAM systems
- Includes five popular predictive model templates and associated visualization
- Includes a comprehensive library of analytics APIs to build custom models
- Scores predictive models using IBM Watson® Machine Learning
- Model scores are easily integrated with IBM Maximo Health for improved condition monitoring
Maximo Predict benefits
Reduce unplanned downtime and risks
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
Make industrial manufacturing, product processes and products more efficient and dependable to deliver higher output.
IBM Maximo
Health
Manage the health of your assets by using IoT data from asset sensors and other sources, such as the weather, asset records and work history, to increase asset availability and improve replacement planning. Now part of the integrated IBM Maximo Application Suite, Maximo Health enables a consolidated, global view. With insight into asset health, you can increase asset availability and find which assets require attention.
Key capabilities of Maximo Health
- Single, intuitive dashboard with fleetwide view and health drilldown
- Sensor data integration
- Health-based notifications and actions
- Flexible health scores for assets by type or group
Maximo Health benefits
Reduce the cost and frequency of asset failures
Monitor asset conditions with registered IoT devices that send sensor data and trigger automated actions that help reduce costly failures.
Increase asset availability
Keep track of conditions, costs, performance and remaining useful life to reduce asset failures and minimize downtime.
Optimize preventive maintenance
Combine asset records and sensor data to take action based on insight into asset health instead of doing unnecessary preventive maintenance.
Reduce operational risk
A deeper view of asset status helps you focus on the right assets.
Reduce time to make capital replacement decision
Monitor asset conditions with registered IoT devices that send sensor data and trigger automated actions that help reduce costly failures.
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It’s a single, integrated cloud-based platform that uses AI, IoT and analytics to optimize performance, extend asset lifecycles and reduce operational downtime and costs. It includes intelligent asset management, monitoring, predictive maintenance and reliability.