Modelling and Diagnosis of Hybrid Dynamic Systems by a Multi-Model Approach

Bochra Maaref; Hedi Dhouibi; Zineb Simeu-Abazi; Hassani Messaoud

doi:doi:10.11648/j.ijmea.20241203.11

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Modelling and Diagnosis of Hybrid Dynamic Systems by a Multi-Model Approach

Bochra Maaref^*, Hedi Dhouibi, Zineb Simeu-Abazi, Hassani Messaoud

Published in International Journal of Mechanical Engineering and Applications (Volume 12, Issue 3)

Received: 22 January 2024 Accepted: 5 February 2024 Published: 31 July 2024

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Abstract

Fault diagnosis is an essential task in ensuring the smooth operation of complex dynamic systems. The consequences of faults can be serious, leading to loss of life, harmful emissions to the environment, high repair costs and economic losses caused by unplanned production line stoppages. The work developed in this paper concerns the modeling and diagnosis of faults (sensor faults, system faults, actuator faults) in hybrid dynamic systems using our multi-model approach (which combines two sub-models, one continuous and the other discrete). The aim is to integrate three well-known tools in the literature: the Bond Graph, the Observer and the Timed Automata, to design a global diagnostic model. The hybrid dynamic system is modeled by connecting the tools for the continuous part, i.e. the bond graph and the observer, to the timed automata for the discrete part. The resulting model is used for fault diagnosis in two stages: The first is fault detection by analyzing the residuals generated by the system output and that of the observer. The second step involves fault localization, which results from analysis of the signature matrix and temporal identification of the system. The proposed method combines the advantages of these tools to obtain the best performance, particularly in the fault location phase. The simulation results prove the effectiveness of the proposed model for the hybrid dynamic system. Moreover, these results also evaluate the performance of the proposed diagnostic approach while reducing non-detections, detection delays and false alarms.

Published in	International Journal of Mechanical Engineering and Applications (Volume 12, Issue 3)
DOI	10.11648/j.ijmea.20241203.11
Page(s)	59-70
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Hybrid Dynamical System, Fault Diagnosis, Bond Graph, Observer, Timed Automata, Multi-Model Approach

References

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[12]	Odgaard, P. F., Stoustrup, J. Unknown input observer based detection of sensor faults in wind turbine. IEEE International Conference on Control Applications (CCA), Yokohama, Japan, 2010. https://doi.org/10.1109/CCA.2010.5611266
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APA Style

Maaref, B., Dhouibi, H., Simeu-Abazi, Z., Messaoud, H. (2024). Modelling and Diagnosis of Hybrid Dynamic Systems by a Multi-Model Approach. International Journal of Mechanical Engineering and Applications, 12(3), 59-70. https://doi.org/10.11648/j.ijmea.20241203.11

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ACS Style

Maaref, B.; Dhouibi, H.; Simeu-Abazi, Z.; Messaoud, H. Modelling and Diagnosis of Hybrid Dynamic Systems by a Multi-Model Approach. Int. J. Mech. Eng. Appl. 2024, 12(3), 59-70. doi: 10.11648/j.ijmea.20241203.11

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AMA Style

Maaref B, Dhouibi H, Simeu-Abazi Z, Messaoud H. Modelling and Diagnosis of Hybrid Dynamic Systems by a Multi-Model Approach. Int J Mech Eng Appl. 2024;12(3):59-70. doi: 10.11648/j.ijmea.20241203.11

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@article{10.11648/j.ijmea.20241203.11,
  author = {Bochra Maaref and Hedi Dhouibi and Zineb Simeu-Abazi and Hassani Messaoud},
  title = {Modelling and Diagnosis of Hybrid Dynamic Systems by a Multi-Model Approach
},
  journal = {International Journal of Mechanical Engineering and Applications},
  volume = {12},
  number = {3},
  pages = {59-70},
  doi = {10.11648/j.ijmea.20241203.11},
  url = {https://doi.org/10.11648/j.ijmea.20241203.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijmea.20241203.11},
  abstract = {Fault diagnosis is an essential task in ensuring the smooth operation of complex dynamic systems. The consequences of faults can be serious, leading to loss of life, harmful emissions to the environment, high repair costs and economic losses caused by unplanned production line stoppages. The work developed in this paper concerns the modeling and diagnosis of faults (sensor faults, system faults, actuator faults) in hybrid dynamic systems using our multi-model approach (which combines two sub-models, one continuous and the other discrete). The aim is to integrate three well-known tools in the literature: the Bond Graph, the Observer and the Timed Automata, to design a global diagnostic model. The hybrid dynamic system is modeled by connecting the tools for the continuous part, i.e. the bond graph and the observer, to the timed automata for the discrete part. The resulting model is used for fault diagnosis in two stages: The first is fault detection by analyzing the residuals generated by the system output and that of the observer. The second step involves fault localization, which results from analysis of the signature matrix and temporal identification of the system. The proposed method combines the advantages of these tools to obtain the best performance, particularly in the fault location phase. The simulation results prove the effectiveness of the proposed model for the hybrid dynamic system. Moreover, these results also evaluate the performance of the proposed diagnostic approach while reducing non-detections, detection delays and false alarms.
},
 year = {2024}
}

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TY  - JOUR
T1  - Modelling and Diagnosis of Hybrid Dynamic Systems by a Multi-Model Approach

AU  - Bochra Maaref
AU  - Hedi Dhouibi
AU  - Zineb Simeu-Abazi
AU  - Hassani Messaoud
Y1  - 2024/07/31
PY  - 2024
N1  - https://doi.org/10.11648/j.ijmea.20241203.11
DO  - 10.11648/j.ijmea.20241203.11
T2  - International Journal of Mechanical Engineering and Applications
JF  - International Journal of Mechanical Engineering and Applications
JO  - International Journal of Mechanical Engineering and Applications
SP  - 59
EP  - 70
PB  - Science Publishing Group
SN  - 2330-0248
UR  - https://doi.org/10.11648/j.ijmea.20241203.11
AB  - Fault diagnosis is an essential task in ensuring the smooth operation of complex dynamic systems. The consequences of faults can be serious, leading to loss of life, harmful emissions to the environment, high repair costs and economic losses caused by unplanned production line stoppages. The work developed in this paper concerns the modeling and diagnosis of faults (sensor faults, system faults, actuator faults) in hybrid dynamic systems using our multi-model approach (which combines two sub-models, one continuous and the other discrete). The aim is to integrate three well-known tools in the literature: the Bond Graph, the Observer and the Timed Automata, to design a global diagnostic model. The hybrid dynamic system is modeled by connecting the tools for the continuous part, i.e. the bond graph and the observer, to the timed automata for the discrete part. The resulting model is used for fault diagnosis in two stages: The first is fault detection by analyzing the residuals generated by the system output and that of the observer. The second step involves fault localization, which results from analysis of the signature matrix and temporal identification of the system. The proposed method combines the advantages of these tools to obtain the best performance, particularly in the fault location phase. The simulation results prove the effectiveness of the proposed model for the hybrid dynamic system. Moreover, these results also evaluate the performance of the proposed diagnostic approach while reducing non-detections, detection delays and false alarms.

VL  - 12
IS  - 3
ER  -

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Author Information

Bochra Maaref

Department of Electrical Engineering, National Engineering School of Monastir, Monastir, Tunisiain

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Hedi Dhouibi

Department of Electrical Engineering, National Engineering School of Monastir, Monastir, Tunisiain

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Zineb Simeu-Abazi

Grenoble Institute of Technology, Joseph Fourier University, Grenoble, France

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Hassani Messaoud

Department of Electrical Engineering, National Engineering School of Monastir, Monastir, Tunisiain

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APA Style

Maaref, B., Dhouibi, H., Simeu-Abazi, Z., Messaoud, H. (2024). Modelling and Diagnosis of Hybrid Dynamic Systems by a Multi-Model Approach. International Journal of Mechanical Engineering and Applications, 12(3), 59-70. https://doi.org/10.11648/j.ijmea.20241203.11

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ACS Style

Maaref, B.; Dhouibi, H.; Simeu-Abazi, Z.; Messaoud, H. Modelling and Diagnosis of Hybrid Dynamic Systems by a Multi-Model Approach. Int. J. Mech. Eng. Appl. 2024, 12(3), 59-70. doi: 10.11648/j.ijmea.20241203.11

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AMA Style

Maaref B, Dhouibi H, Simeu-Abazi Z, Messaoud H. Modelling and Diagnosis of Hybrid Dynamic Systems by a Multi-Model Approach. Int J Mech Eng Appl. 2024;12(3):59-70. doi: 10.11648/j.ijmea.20241203.11

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@article{10.11648/j.ijmea.20241203.11,
  author = {Bochra Maaref and Hedi Dhouibi and Zineb Simeu-Abazi and Hassani Messaoud},
  title = {Modelling and Diagnosis of Hybrid Dynamic Systems by a Multi-Model Approach
},
  journal = {International Journal of Mechanical Engineering and Applications},
  volume = {12},
  number = {3},
  pages = {59-70},
  doi = {10.11648/j.ijmea.20241203.11},
  url = {https://doi.org/10.11648/j.ijmea.20241203.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijmea.20241203.11},
  abstract = {Fault diagnosis is an essential task in ensuring the smooth operation of complex dynamic systems. The consequences of faults can be serious, leading to loss of life, harmful emissions to the environment, high repair costs and economic losses caused by unplanned production line stoppages. The work developed in this paper concerns the modeling and diagnosis of faults (sensor faults, system faults, actuator faults) in hybrid dynamic systems using our multi-model approach (which combines two sub-models, one continuous and the other discrete). The aim is to integrate three well-known tools in the literature: the Bond Graph, the Observer and the Timed Automata, to design a global diagnostic model. The hybrid dynamic system is modeled by connecting the tools for the continuous part, i.e. the bond graph and the observer, to the timed automata for the discrete part. The resulting model is used for fault diagnosis in two stages: The first is fault detection by analyzing the residuals generated by the system output and that of the observer. The second step involves fault localization, which results from analysis of the signature matrix and temporal identification of the system. The proposed method combines the advantages of these tools to obtain the best performance, particularly in the fault location phase. The simulation results prove the effectiveness of the proposed model for the hybrid dynamic system. Moreover, these results also evaluate the performance of the proposed diagnostic approach while reducing non-detections, detection delays and false alarms.
},
 year = {2024}
}

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TY  - JOUR
T1  - Modelling and Diagnosis of Hybrid Dynamic Systems by a Multi-Model Approach

AU  - Bochra Maaref
AU  - Hedi Dhouibi
AU  - Zineb Simeu-Abazi
AU  - Hassani Messaoud
Y1  - 2024/07/31
PY  - 2024
N1  - https://doi.org/10.11648/j.ijmea.20241203.11
DO  - 10.11648/j.ijmea.20241203.11
T2  - International Journal of Mechanical Engineering and Applications
JF  - International Journal of Mechanical Engineering and Applications
JO  - International Journal of Mechanical Engineering and Applications
SP  - 59
EP  - 70
PB  - Science Publishing Group
SN  - 2330-0248
UR  - https://doi.org/10.11648/j.ijmea.20241203.11
AB  - Fault diagnosis is an essential task in ensuring the smooth operation of complex dynamic systems. The consequences of faults can be serious, leading to loss of life, harmful emissions to the environment, high repair costs and economic losses caused by unplanned production line stoppages. The work developed in this paper concerns the modeling and diagnosis of faults (sensor faults, system faults, actuator faults) in hybrid dynamic systems using our multi-model approach (which combines two sub-models, one continuous and the other discrete). The aim is to integrate three well-known tools in the literature: the Bond Graph, the Observer and the Timed Automata, to design a global diagnostic model. The hybrid dynamic system is modeled by connecting the tools for the continuous part, i.e. the bond graph and the observer, to the timed automata for the discrete part. The resulting model is used for fault diagnosis in two stages: The first is fault detection by analyzing the residuals generated by the system output and that of the observer. The second step involves fault localization, which results from analysis of the signature matrix and temporal identification of the system. The proposed method combines the advantages of these tools to obtain the best performance, particularly in the fault location phase. The simulation results prove the effectiveness of the proposed model for the hybrid dynamic system. Moreover, these results also evaluate the performance of the proposed diagnostic approach while reducing non-detections, detection delays and false alarms.

VL  - 12
IS  - 3
ER  -

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