Abstract
This paper addresses a model-based procedure exploiting analytical redundancy for the detection and isolation of faults of a power plant. The residual generation is performed by means of output observers and Kalman filters in connection with the uncertainty affecting the measurements acquired from the monitored system. The model of the process under investigation required to design observers and filters is obtained by identification. The proposed fault detection and isolation tool has been tested on a simulated model of an industrial gas turbine prototype.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 39th IEEE Conference on Decision and Control |
| Publisher | IEEE |
| Pages | 2615-2620 |
| Volume | 3 |
| ISBN (Print) | 0-7803-6638-7 |
| DOIs | |
| Publication status | Published - 1 Dec 2000 |
| Event | 39th IEEE Conference on Decision and Control - Sydney, Australia Duration: 12 Dec 2000 → 15 Dec 2000 |
Publication series
| Name | IEEE Conference on Decision and Control |
|---|---|
| Publisher | IEEE |
| ISSN (Print) | 0191-2216 |
Conference
| Conference | 39th IEEE Conference on Decision and Control |
|---|---|
| Country | Australia |
| City | Sydney |
| Period | 12/12/00 → 15/12/00 |
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Cite this
Simani, S., Patton, R. J., Daley, S., & Pike, A. (2000). Identification and fault diagnosis of an industrial gas turbine prototype model. In Proceedings of the 39th IEEE Conference on Decision and Control (Vol. 3, pp. 2615-2620). (IEEE Conference on Decision and Control). IEEE. https://doi.org/10.1109/CDC.2000.914199