Working with annotations

Annotations in TrendMiner are, for example, descriptions of events or asset issues. You can use annotations in TrendMiner to label interesting or notable occurrences attributable to your processes. Annotations in this context can be thought of as text balloons used to label your trends.

All annotations are stored and managed in the TrendMiner Capture backend.

Like metadata, annotations can be searched and filtered in TrendMiner to help you find the events or assets of interest to you.

Annotation types

There are two types of annotations:

  1. Instant annotations: these annotations indicate specific time stamps of interest, for instance a remark or an info message.

  2. Event frame annotations: these annotations indicate time periods of interest, for instance a faulty condition or a maintenance activity that have a start and end timestamp.

Annotations for which only one date field appears are an instant type. Annotations for which both a start and end time appear in the annotations menu, are an event frame type. 

How to create instant annotations

In order to create instant annotations:

1. Double click in the focus chart on the position where you want to create an annotation. A data scooter and additional menu will pop up.

2. Clicking the annotation icon  opens the annotation menu on the left of the screen.

3. Select the tag or asset (plant component) on which you want to create the annotation. 

4. Select the type, category and description of the annotation.

Optional: assign keywords and/or a description to the annotation.

5. Tick off 'Annotate on overlays' if you want to create annotations for all layers present in the focus chart. This could be useful when you have retrieved multiple occurrences of a similar event and want to label all the overlays with one action.

6. Click the 'Create' button.

How to create event frame annotations

In order to create an event frame annotation:

1. Select period of interest in the focus chart for which you want to create an annotation. A Scooter and additional menu will pop up.

2. Clicking the annotation icon  opens the annotation menu on the left of the screen.

3. Select the tag or asset (plant component) on which you want to create the annotation. 

4. Select the type, category and description of the annotation.

Optional: assign keywords and/or description to the annotation.

5. Tick off 'Annotate on overlays' if you want to create annotations for all layers present in the focus chart. This could be useful when you have retrieved multiple occurrences of a similar event and want to label all the overlays with one action.

6. Click the 'Create' button.

How to view annotation details

To check annotation details:

  • Click on an annotation icon present in the focus chart. This will open the annotation menu and highlight the selected annotation in the list.

or

  • Open the annotation menu. All annotations present in each overlay of the focus chart will be listed.
  • Click on an annotation of interest. The selected annotation is highlighted in the list and on the chart, and the details are visible in the list.

A filter field is available in the annotations menu. Type a search string here to filter annotations based on their type, category, plant component name, keyword or description. Annotations will be filtered in the list, as well as on the chart. In the example below, all 'maintenance' periods have been filtered.

How to search for annotations

Event frame annotations can be used to search specific periods of time. These search results can then be used for overlays, comparison, fingerprint creation, etc. More information can be found in the event frame search article.

How to delete annotations

1. Navigate to the time period where you want to delete annotations (only annotations present in the focus chart will be listed).

2. Open the annotation menu.

3. Click the delete icon  .

4. Select one or more annotations that you want to delete.

5. Click the 'Delete' button. The number of annotations that will be deleted is shown between brackets.

Feature deep dive video