Hello ,
Recently just upgraded my dataminer from 10.4 to 10.5.
Will need your advice on how to turn on the abnormality feedback feature on dataminer version 10.5?
And for the abnormality feedback are available for all the element's parameters?
Best Regards
Toh
As you mentioned, feedback can indeed be given to suggestion events generated by Behavioral Anomaly Detection and Proactive Cap Detection in the Alarm Console. The column with the feedback buttons is added by default in the following tabs
- Suggestion Events tab (opened by clicking the plus icon in the header bar, and then Suggestion Events under Show current)
- Predicted alarms tab (opened via the light bulb on the top-right of the alarm console, only available if you have at least one predicted alarm)
- Anomalies tab (opened via the light bulb on the top-right of the alarm console, only available if you have at least one behavioral anomaly)
The column can also be added on other tabs, in particular history tabs, by right-clicking the column headers and selecting Add/Remove column > Actions > Feedback (but this column will only contain buttons if these tabs show anomalies or predicted alarms). More information can be found at Providing user feedback | DataMiner Docs.
Relational Anomaly Detection (RAD) is only available from 10.5.3 onwards. If you follow the main release track, this means you will have to wait until 10.6 is released (expected in February 2026). However, you can consider upgrading a staging system, or using a DaaS to test it out in the meantime. We are eager for any feedback on the feature. You can find more information at Relational anomaly detection | DataMiner Docs.
Hi Miguel,
Managed to find the setting on the anomaly feedback under the alarm console as shown on attached photo:
For the Relational Anomaly detection, where can I find for more info?
Hi Toh,
Are you referring to behavioral anomaly detection?
You can enable/disable these feature in Cube: System settings -> analytics config
Hope it helps.
Hi Miguel,
Thanks for your reply.
I am referring to the anomaly feedback.
Following is the link on the blog for the anomaly feedback:
https://community.dataminer.services/enhance-your-dataminer-experience-with-anomaly-feedback/
And will like to have more info on the the DataMiner Relational Anomaly Detection (RAD) feature uses AI and machine learning to analyze real-time battery data across your network. It immediately detects anomalies—like early signs of battery degradation—so operators can schedule targeted replacements before outages occur.
Will like to find out how does the RAD feature works and how to configure it?
Recently I have just upgraded from 10.4 to 10.5.
Is the RAD feature available in 10.5?
And what is the requirement to upgrade to 10.6?