IDENTIFICATION OF DIAGNOSTIC STATISTICAL STATE MODELS FOR NETWORKED SYSTEM |
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| Miika Rajala, Risto Ritala |
- Abstract:
- The diagnostics of networked systems has concentrated on diagnostics of network nodes. We present a statistical modelling method which supports analysis and diagnostics of the network as whole, in particular, of coher- ent states and state transitions. We describe nodes with dis- crete states statistically affected by external load. In a net- work the effective load on a node is a sum of the external load and an effect due to the states of neighbouring nodes. Such effective loads introduce statistical dependence be- tween states, and eventually coherent behaviour of the net- work. This presentation describes how such models are identified from data and discusses how the models support network-wide diagnostics.
- Keywords:
- networked systems, statistical models, Ising model, diagnostics
- Download:
- IMEKO-TC10-2005-31.pdf
- DOI:
- -
- Event details
- IMEKO TC:
- TC10
- Event name:
- TC10 Conference 2005
- Title:
10th IMEKO TC10 Conference on Technical Diagnostics
- Place:
- Budapest, HUNGARY
- Time:
- 09 June 2005 - 10 June 2005