Product overview

IBM® Prescriptive Maintenance on Cloud focuses on the needs of the reliability engineer to identify and manage asset reliability risks that could adversely affect plant or business operations. It applies machine learning and analytics to operational data generated by critical assets to gain a better understanding of asset performance and then operationalize these analyses for continuous process improvement regarding maintenance practices and resources.

Welcome to Prescriptive Maintenance on Cloud
IBM Prescriptive Maintenance on Cloud looks for patterns in how an equipment asset is used and the environment in which it is operating. It then correlates this information with any known failures in the equipment. These correlations are used to evaluate new data about the equipment asset, resulting in predictive scores that indicate the relative health of the equipment and the likelihood of future failures.
How it works
The product discovers leading and lagging indicators of equipment failure and builds models that predict future failure.
Required data
The minimum data that is required to create failure predictions by using Prescriptive Maintenance on Cloud includes failure data, operating data, the frequency of the collection of the operating data versus the analysis period, and master data.
Optional data
Some data, such as the next scheduled maintenance date and date of manufacture, is optional but useful in prescriptive maintenance.
Outputs
After the input data is analyzed, Prescriptive Maintenance on Cloud provides the maintenance margin, top drivers, and risk factors.
Training models by using a subset of data
Prescriptive Maintenance on Cloud trains models by using 100% of historical data. However, you can train by using a subset of data.
Accuracy of predictions for long-range planning
While model accuracy might decrease for long-range planning, this decrease is generally not a problem. The purpose of long-range planning is to ensure that sufficient resources are available to perform future maintenance, not to make decisions about individual assets.
How is data backed up and restored?
IBM Prescriptive Maintenance on Cloud is one of many solutions hosted on a cloud cluster. IBM has a backup cluster for the live Prescriptive Maintenance on Cloud cluster. The operations team uses cron jobs to back up all Prescriptive Maintenance on Cloud data, including user data, asset entity and event data, trained models, and analysis results, from the live cluster to the backup cluster.
What's new
The What's new section contains a list of new, changed, and deprecated configuration features for this release. It also contains a cumulative list of similar information for previous releases. You can use these lists to plan your application deployment strategies and the training requirements for your users.
Notices
Accessibility features
Accessibility features help users who have a physical disability, such as restricted mobility or limited vision, to use information technology products.