@inproceedings{f29fc76991b640afbc30b4324396bb10,
title = "Identification and fault diagnosis of an industrial gas turbine prototype model.",
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.",
author = "Silvio Simani and Patton, {Ron J.} and Steve Daley and Andrew Pike",
year = "2000",
month = dec,
day = "1",
doi = "10.1109/CDC.2000.914199",
language = "English",
isbn = "0-7803-6638-7",
volume = "3",
series = "IEEE Conference on Decision and Control",
publisher = "IEEE",
pages = "2615--2620",
booktitle = "Proceedings of the 39th IEEE Conference on Decision and Control",
address = "United States",
note = "39th IEEE Conference on Decision and Control ; Conference date: 12-12-2000 Through 15-12-2000",
}