A Comparative Study of Two Structural Methods for Fault Isolability Analysis
Technical systems of today are often complex and integrated. If a
fault occurs, the consequences can be disastrous both for the
system itself and its surroundings. To maintain the operation and
the security it is necessary to have a
surveillance system which can detect a fault in an early stage.
In this thesis two structural methods for fault isolation analysis
are discussed. The result from the studied algorithms shows what
fault isolation properties a diagnostic model is expected to have.
If the isolability is not good enough, it also gives information
on where further modelling needs to be done.
To base a comparison of the two structural analysis algorithms on,
four criteria are defined concerning for example realizability of
residuals and time complexity. One interesting part of the methods
is how dynamic models are handled. It is shown how differential
constraints can end up in differential cycles which implies
calculatory problems and what effects structural differentiation
has on a system.
The algorithms have been tested on an application from the
research training network DAMADICS. The result shows how different
types of input models in this case give the same result.
Senast uppdaterad: 2018-02-06