We are not able to resolve this OAI Identifier to the repository landing page. If you are the repository manager for this record, please head to the Dashboard and adjust the settings.
The paper presents some results on parametric identification of
linear systems applied to robust Fault Diagnosis schemes. In our
approach, an equation error model is derived from input--output data.
In particular, the error term takes into account disturbances (non
measurable inputs), nonlinear and time--variant terms, measurement
errors, etc.
In this manner, state--space realization of the equation error model
leads to define a disturbance distribution matrix related to the
error term, and, thus, well--known eigenstructure assignment results
for robust fault detection can be successfully applied.
The proposed procedure has been tested on a industrial gas turbine
prototype model in which a sensor fault is simulated. Results from
this simulation campaign are also reported
Is data on this page outdated, violates copyrights or anything else? Report the problem now and we will take corresponding actions after reviewing your request.