IBM Maximo Health and Predict - Utilities

What is Health and Predict - Utilities?

By using Health and Predict - Utilities, you can deliver more safe, reliable, affordable, and sustainable energy by improving the reliability of your energy and utility assets and locations and, for assets, predicting downtime, degradation, and failures. Health and Predict - Utilities includes all of the features that are available in Maximo Health and Maximo Predict and the features that are described in the following sections.

For more information about how to deploy the industry solution, see Deploying and activating Health and Predict - Utilities.

For more information about how to get started with the industry solution, see Getting started.

Configure effective age and end of life scoring

Configure effective age scoring to describe the current age of an asset or location relative to the current condition of the asset or location. You can also configure end of life scoring to describe the current probability of an imminent end of life failure. If the end of life curve predictive model is configured for an asset, you can enable the results of the model to contribute to the end of life score for that asset.

Use score calculations from IBM Watson Studio

Instead of manually building score calculations in the industry solution, you can connect a scoring group to an IBM Watson® Studio notebook, including the default asset-class specific notebooks. The health, risk, criticality, end of life, or effective age score calculations that are configured in that notebook are automatically added to that scoring group. For more information, see Asset class notebooks.

View containers on the map

In addition to assets and other types of locations, you can view containers on the map. A container is a type of location that represents a group of assets and other network elements, such as regions, feeders, or circuits. Use the Assets layer to show and hide assets and containers on the map. Select a container on the map to view the average scores for assets in that container.

Dissolved gas analysis (DGA)

In transformer-type assets, a new Dissolved gas analysis section is available. The section contains the Duval triangle card and the History of combustible gas analysis card. You can use the Duval triangle card to review DGA samples and the percentages of methane, ethylene, and acetylene in each sample. You can use the History of combustible gas analysis chart to review a history of samples and the condition rating of each sample.

Before you can use the cards, your data scientist must configure the notebook to support the settings and then the notebook must be connected to a group on the Scoring and DGA settings page. For more information, see Getting started as a data scientist.

Optimize investment to meet your objectives

Create investment projects from the Assets page and then generate optimized investments for assets in the project based on unique investment strategies. Compare and contrast the costs, schedules, and resulting risk scores if each strategy was implemented. When you're ready to start scheduling or reviews with your investment planner, export strategy details as a .csv file. For more information, see Configuring an investment project.

Access to a Common Information Model (CIM)

A CIM is a standard model for reporting and exchanging electrical supply network information. The CIM for Health and Predict - Utilities includes standard information for logical resources, separation of logical resources from physical asset data, containers, connectivity, locations, and measurements. To use the CIM, you must load data by using IBM App Connect Enterprise. For more information, see Loading data by using IBM App Connect Enterprise.