@inproceedings{902623a221bc444d96211e23ea082e32,
title = "Fuzzy parity equation for fault detection and identification of nonlinear systems",
abstract = "A fault detection and identification method for nonlinear systems based on fuzzy parity equations is presented. The proposed technique involves approximating first the nonlinear system by a T-S model, and then fully-decoupled parity equations are derived for the local linear models. Residuals generated from the fuzzy parity equations in the T-S model are fused by another T-S model. As the residual generated by the fuzzy parity equation is sensitive to a specific actuator or sensor fault, and insensitive to other faults, system states and disturbance inputs, faults can be detected and/or identified. A simulation example involving a nonlinear airplane model is presented to illustrate the performance of the proposed technique.",
keywords = "Fault detection and identification, Fault diagnosis, Fuzzy model, Nonlinear systems, Parameter estimation",
author = "Hua Song and Chan, \{C. W.\} and Zhang, \{Hong Yue\}",
year = "2006",
language = "英语",
isbn = "9783902661142",
series = "IFAC Proceedings Volumes (IFAC-PapersOnline)",
number = "PART 1",
pages = "390--395",
booktitle = "6th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes, SAFEPROCESS 2006",
edition = "PART 1",
note = "6th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes, SAFEPROCESS 2006 ; Conference date: 29-08-2006 Through 01-09-2006",
}