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Improved observer for sensor fault diagnosis of a power plant

By SIMANI S., FANTUZZI C and BEGHELLI S

Abstract

The paper presents some results on parametric identification of\ud linear systems applied to robust Fault Diagnosis schemes. In our\ud approach, an equation error model is derived from input--output data.\ud In particular, the error term takes into account disturbances (non\ud measurable inputs), nonlinear and time--variant terms, measurement\ud errors, etc.\ud \ud In this manner, state--space realization of the equation error model\ud leads to define a disturbance distribution matrix related to the\ud error term, and, thus, well--known eigenstructure assignment results\ud for robust fault detection can be successfully applied.\ud \ud The proposed procedure has been tested on a industrial gas turbine\ud prototype model in which a sensor fault is simulated. Results from\ud this simulation campaign are also reported

Topics: Fault Detection, Identification, Eigenstructure\ud Assignment.
Publisher: IEEE MED
Year: 1999
OAI identifier: oai:iris.unife.it:11392/1195653
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