2024-03-28T23:24:52Zhttps://www.tdx.cat/oai/requestoai:www.tdx.cat:10803/536352017-09-02T00:11:18Zcom_10803_183col_10803_195
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Optimal sensor placement
Fault diagnosis
Faul detection and isolation
Structural analysis
Minimal dedundant sub-models
Binary integer programing
Causal computability
Fuel cell stack system
Sensor placement for fault diagnosis based on structural models: application to a fuel cell stak system
[Barcelona] :
Universitat Politècnica de Catalunya,
2012
Accés lliure
http://hdl.handle.net/10803/53635
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Rosich Oliva, Albert,
autor
1 recurs en línia (204 pàgines)
Tesi
Doctorat
Universitat Politècnica de Catalunya. Institut d'Organització i Control de Sistemes Industrials
2011
Universitat Politècnica de Catalunya. Institut d'Organització i Control de Sistemes Industrials
Tesis i dissertacions electròniques
Sarrate Estruch, Ramon,
supervisor acadèmic
Nejjari, Fatiha,
supervisor acadèmic
TDX
The present work aims to increase the diagnosis systems capabilities by choosing the location of sensors in the process. Therefore, appropriate sensor location will lead to better diagnosis performance and implementation easiness. The work is based on structural models ands some simplifications are considered in order to only focus on the sensor placement analysis. Several approaches are studied to solve the sensor placement problem. All of them find the optimal sensor configuration.
The sensor placement techniques are applied to a fuel cell stack system. The model used to describe the behaviour of this system consists of non-linear equations. Furthermore, there are 30 candidate sensors to improve the diagnosis specifications. The results obtained from this case study are used to strength the applicability of the proposed approaches.
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