Skip to main content
Article thumbnail
Location of Repository

Parameter identification for eigenstructure assignment in robust \ud fault detection

By FANTUZZI C, SIMANI S. and BEGHELLI S.

Abstract

This paper proposes a method for fault diagnosis of dynamic\ud processes using the multiple model approach. The technique\ud presented concerns the identification of a non--linear dynamic\ud system based on Takagi-Sugeno (TS) fuzzy models. It can be shown\ud that any non--linear dynamic process can, in fact, be described as a\ud composition of several TS models selected according to process\ud operating conditions. In particular, this work addresses a method\ud for the identification and the optimal selection of the local TS\ud models from a sequence of noisy input-output data acquired from the\ud process. The diagnostic scheme exploits the TS fuzzy models to\ud generate residuals. The developed technique was applied to the\ud fault diagnosis of the input--output sensors of an industrial gas\ud turbine and the results are also presented

Topics: Fault diagnosis, multiple model approach, Takagi--Sugeno\ud fuzzy models, dynamic system identification, industrial gas\ud turbine.
Publisher: ECC
Year: 2001
OAI identifier: oai:iris.unife.it:11392/1195670
Download PDF:
Sorry, we are unable to provide the full text but you may find it at the following location(s):
  • http://hdl.handle.net/11392/11... (external link)
  • Suggested articles


    To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.