Supervision of the air loop in the Columbus Module of the International Space Station
Failure detection and isolation (FDI) is essential for reliable
operations of complex autonomous systems or other systems where
continuous observation or maintenance thereof is either very costly or
for any other reason not easily accessible.
Beneficial for the model based FDI is that there is no need for fault
data to detect and isolate a fault in contrary to design by data
clustering. However, it is limited by the accuracy and complexity of
the model used. As models grow more complex, or have multiple
interconnections, problems with the traditional methods for FDI
emerge.
The main objective of this thesis is to utilise the automated
methodology presented in [Svärd, 2012] to create a model based FDI
system for the Columbus air loop. A small but crucial part of the life
support on board the European space laboratory Columbus.
The process of creating a model based FDI, from creation of the model
equations, validation thereof to the design of residuals, test
quantities and evaluation logic is handled in this work. Although the
latter parts only briefly which leaves room for future work.
This work indicate that the methodology presented is capable to create
quite decent model based FDI systems even with poor sensor placement
and limited information of the actual design.
Jasper Germeys
2016
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