[ACE-25] Alarm Detection System Created: 01/Aug/24  Updated: 26/Aug/24  Due: 01/Aug/24

Status: To Do
Project: ACE
Component/s: None
Affects Version/s: None
Fix Version/s: None

Type: Story Priority: Normal
Reporter: Ahmed Osman Assignee: Unassigned
Resolution: Unresolved Votes: 0
Labels: None
Remaining Estimate: Not Specified
Time Spent: Not Specified
Original Estimate: Not Specified
Environment:

Requires Docker, and Make (optional)

Attachments: Zip Archive Alarm-Detection-System.zip    
Customer:
NEP_3.X
Planned Start:
Planned End:

 Description   

The Alarm Detection System is an advanced machine learning solution designed to distinguish between *Relevant* and *Irrelevant* alarms in network elements. This system provides real-time alarm classification, helping network operators focus on critical issues and reduce noise from non-essential alerts.

Open the `README.md` file and follow the instructions to install and use the project.

 Comments   
Comment by Ahmed Osman [ 26/Aug/24 ]

TODO :

  • Try another processing method for labelling the alarms as relevant or irrelevant by counting the last alarm occurred for each network element, and if it is higher than a certain threshold in a certain time window, label it as irrelevant (definition of transient alarms)

(The current technique used is by the fixing a clearance duration and if the alarms are not cleared before this specific threshold, the alarm are labeled as irrelevant)

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