Analyzing predictive maintenance data

You can analyze the results of predictive models in IBM® Maximo® APM - Predictive Maintenance Insights SaaS to determine how to complete maintenance for assets.

Before you can run a model and analyze the data, you must configure the data, set up the predictive model templates, and define asset groups to identify the assets that are included in the analysis.

After you run a predictive maintenance model, you view the output data on the Predictive Maintenance tab in the Details view of the asset in the Reliability Engineering Work Center. You can view the maintenance timeline of the asset, including work order details, estimated due dates for planned maintenance, dates and details of past failures, and predicted next failure dates.

You also can view the results of the following Predictive Maintenance models:
  • Failure Probability
  • Failure Contribution Breakdown
  • Predicted Failure Dates
  • Anomaly Detection
  • Failure Probability Curve

After you view and analyze the predictive maintenance data, you can use IBM Maximo APM - Asset Health Insights to view the overall asset health information, and you can choose follow-up actions, such as creating a work order, service request, or investigation that is related to maintenance on the asset. You can also edit cards in the Reliability Engineering Work Center and select the predictive maintenance attributes that are displayed on the cards. For more information about asset health cards, see "Configuring the Reliability Engineering Work Center" in the Maximo APM - Asset Health Insights Knowledge Center.