Abstract
This paper presents a methodology for model-based fault localization and identification that exploits both numerical (Modelica) models and a qualitative model-based approach to diagnosis. It has been applied to diagnosis of an air handling unit based on data recorded by a building management system. The main steps from model development to diagnosis based on the recorded data are discussed.
| Original language | English (Ireland) |
|---|---|
| Title of host publication | 21ST EUROPEAN CONFERENCE ON ARTIFICIAL INTELLIGENCE (ECAI 2014) |
| Publisher | IOS PRESS |
| Volume | 263 |
| ISBN (Electronic) | 0922-6389 |
| ISBN (Print) | 0922-6389 |
| DOIs | |
| Publication status | Published - 1 Jan 2014 |
Authors (Note for portal: view the doc link for the full list of authors)
- Authors
- Struss, P;Sterling, R;Febres, J;Sabir, U;Keane, MM
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