Robust generation of analytical redundancy equations andapplications to diagnosis
Abstract
A procedure for generating analytical redundancy equations for process fault detection and isolation is described. This procedure uses a direct approach by considering the relations betwen the inputs and the outputs of the process. Systems with known or partially known inputs are considered. A numerical example is presented
Domains
Automatic
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