Fault Diagnosis for Controlled Continuous Systems from a Hybrid Approach: A Case Study

Mariela Cerrada; Joffre Ortiz; René Vinicio Sánchez

doi:10.1109/APCASE.2015.60

Fault Diagnosis for Controlled Continuous Systems from a Hybrid Approach: A Case Study

Mariela Cerrada, Joffre Ortiz, René Vinicio Sánchez

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Abstract

© 2015 IEEE. This paper applies a hybrid approach to design a fault diagnoser for controlled continuous systems under actuator saturation. The discrete system is associated to fault tolerant states, non fault-tolerant states and fault events, and the discrete dynamic is modelled by using a Hybrid Finite State Automaton (HFSA). The discrete dynamic is extended by defining new events that are identified from the residuals associated to the continuous dynamics which is controlled by using a model matching strategy. The hybrid language is obtained for the controlled system and the HFSA is extended with observable events in order to propose the discrete diagnoser to identify the non-fault tolerant modes and the faults that exist in the system. This approach aims to propose real-time diagnostic systems for industrial processes.

Original language	English
Pages	302-307
Number of pages	6
DOIs	https://doi.org/10.1109/APCASE.2015.60
State	Published - 1 Oct 2015
Event	Proceedings - 2015 Asia-Pacific Conference on Computer-Aided System Engineering, APCASE 2015 - Quito, Ecuador Duration: 14 Jul 2015 → 16 Jul 2015

Conference

Conference	Proceedings - 2015 Asia-Pacific Conference on Computer-Aided System Engineering, APCASE 2015
Abbreviated title	APCASE 2015
Country/Territory	Ecuador
City	Quito
Period	14/07/15 → 16/07/15

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10.1109/APCASE.2015.60

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abstract = "{\textcopyright} 2015 IEEE. This paper applies a hybrid approach to design a fault diagnoser for controlled continuous systems under actuator saturation. The discrete system is associated to fault tolerant states, non fault-tolerant states and fault events, and the discrete dynamic is modelled by using a Hybrid Finite State Automaton (HFSA). The discrete dynamic is extended by defining new events that are identified from the residuals associated to the continuous dynamics which is controlled by using a model matching strategy. The hybrid language is obtained for the controlled system and the HFSA is extended with observable events in order to propose the discrete diagnoser to identify the non-fault tolerant modes and the faults that exist in the system. This approach aims to propose real-time diagnostic systems for industrial processes.",

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AB - © 2015 IEEE. This paper applies a hybrid approach to design a fault diagnoser for controlled continuous systems under actuator saturation. The discrete system is associated to fault tolerant states, non fault-tolerant states and fault events, and the discrete dynamic is modelled by using a Hybrid Finite State Automaton (HFSA). The discrete dynamic is extended by defining new events that are identified from the residuals associated to the continuous dynamics which is controlled by using a model matching strategy. The hybrid language is obtained for the controlled system and the HFSA is extended with observable events in order to propose the discrete diagnoser to identify the non-fault tolerant modes and the faults that exist in the system. This approach aims to propose real-time diagnostic systems for industrial processes.

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Fault Diagnosis for Controlled Continuous Systems from a Hybrid Approach: A Case Study

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