| Project title: |
Proactive
Intelligent Network Fault Management Using Computational Intelligence Techniques |
| Sponsors: |
Nortel Networks
R&D, Ottawa, Canada and Research Triangle Park, NC |
| Duration: |
Oct 1, 2000 –
Dec 31, 2001 |
| Team Members: |
Rohit Inder
Badlaney, Bulent Ayhan, Mo-Yuen Chow, John M. Beck |
| Description: |
The objectives
of this project are:
- To investigate and develop a real-time proactive intelligent fault
management system for communication networks
- To develop methodologies that can predict and localize network failures
based on information such as the fault alarms, network topology; network
operating conditions and traffic conditions.
- To develop intelligent schemes to learn, absorb, adapt, evolve and
improve the network fault management system performance when new information,
such as new faults and operating conditions are presented.
|
| Milestones completed: |
- Have gathered appropriate faulty data under the name “fault
scenarios” from Nortel Networks.
- Have used statistical software to extract appropriate attributes for
the faults under investigation and by doing so, to assist expert in
the analysis process of the fault scenarios.
- Have developed rules and features based on expert’s knowledge
in order to detect and locate the fault.
- Have used Computational Intelligence Techniques together with expert
knowledge for an optimal solution to the detection and location problem.
|
| Publications: |
To
be added. |
| Bench/Prototype: |
. |
| Links: |
To
be added. |
