Trend
Last updated
Last updated
The Trend view displays the time-domain data in a graphical representation. At the machine level, the trend view shows the data of all the devices in the machine, whereas at the device level, the data displayed is related only to that specific device.
In the case of the NEON Vibration Sensor, the trend view displays 3 graphs: RMS velocity on the 3 axes, peak acceleration on the 3 axes, and the sensor's temperature. The image below shows an example of the trend view of a device.
The user can interact with the graphs available in the trend view. The following sections provide details on how to use the features available in SolidRed's trend view.
The legend on the far right of the graph allows the user to choose which measurements to display in the graph. A deactivated measurement is grayed out, while an activated one has a defined color. Clicking on the measurement will toggle its activation.
Hovering on a measurement in the graph's legend will make the graph focus on the hovered measurement.
The specific value of a point in the graph can be seen by hovering on the graph. By doing so the value and the timestamp of the activated measurements of the graph will display.
Alerts defined in the device overview will show up in the related trend graph as a threshold dotted line.
Clicking on the statistics icon will display a dashboard with statistical measurements like maximum and averages.
Clicking on the combine/split icon on the top right of a graph will change the trend view from separated dashboards containing measurements per category to a single graphical view of the overall data.
An example of such a view is displayed next.
Clicking again on the same icon will split the trend view into separate graphs per category as before. Additionally, the user can drag the bottom cursor to navigate to a specific part of the graph to focus on a section or add more detail.
Clicking on the export icon on the top right corner of a graph will allow the user to download the data in CSV, XLS, or XLSX format.
Click on the fullscreen icon to expand the graph's view to fullscreen.
