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Original Articles

Optimal residual decoupling for robust fault diagnosis

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Pages 395-421 | Received 22 Jun 1993, Published online: 27 Feb 2007

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Kai Liu, Kaixiang Peng, Hao Jing & Jie Dong. (2019) Integration of fault diagnosis and control based on residual decoupling. Systems Science & Control Engineering 7:1, pages 210-221.
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A. M. Pertew, H. J. Marquez & Q. Zhao. (2005) H ∞ synthesis of unknown input observers for non-linear Lipschitz systems. International Journal of Control 78:15, pages 1155-1165.
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Weihua Li & Jin Jiang. (2004) Isolation of parametric faults in continuous-time multivariable systems: a sampled data-based approach. International Journal of Control 77:2, pages 173-187.
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P. Rakic. (2001) Fault Detection and Isolation of Sensors in Dynamic Systems with Modelling Uncertainties. International Journal of Modelling and Simulation 21:2, pages 115-121.
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Articles from other publishers (80)

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Nicholas Cartocci, Marcello R. Napolitano, Gabriele Costante & Mario L. Fravolini. (2021) A Comprehensive Case Study of Data-Driven Methods for Robust Aircraft Sensor Fault Isolation. Sensors 21:5, pages 1645.
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Silvia Cascianelli, Gabriele Costante, Francesco Crocetti, Elisa Ricci, Paolo Valigi & Mario Luca Fravolini. (2020) Data‐based design of robust fault detection and isolation residuals via LASSO optimization and Bayesian filtering. Asian Journal of Control 23:1, pages 57-71.
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Maryam Taajobian, Morteza Mohammadzaheri, Mojtaba Doustmohammadi, Amirhosein Amouzadeh & Mohammadreza Emadi. (2018) Fault diagnosis of an automobile cylinder head using low frequency vibrational data. Journal of Mechanical Science and Technology 32:7, pages 3037-3045.
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Jingjing Hao & Michel Kinnaert. (2017) Sensor fault detection and isolation over wireless sensor network based on hardware redundancy. Journal of Physics: Conference Series 783, pages 012006.
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Xiao‐Jian Li & Guang‐Hong Yang. (2015) Fault detection and isolation for uncertain closed‐loop systems based on adaptive and switching approaches. International Journal of Robust and Nonlinear Control 26:13, pages 2916-2937.
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Jian Zhang, Akshya Kumar Swain & Sing Kiong NguangJian Zhang, Akshya Kumar Swain & Sing Kiong Nguang. 2016. Robust Observer-Based Fault Diagnosis for Nonlinear Systems Using MATLAB®. Robust Observer-Based Fault Diagnosis for Nonlinear Systems Using MATLAB® 11 33 .
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Pedro Casau, Paulo Rosa & Carlos Silvestre. (2015) FITBOX - A Fault Isolation Toolbox ★ ★Carlos Silvestre is on leave from Instituto Superior Técnico/University of Lisbon, 1049-001 Lisbon, Portugal. The work of Pedro Casau was partially supported by grants SFRH/BD/70656/2010 and the project PEst-OE/EEI/LA0009/2013 both from the Fundação para a Ciência e a Tecnologia. Research by Carlos Silvestre has been supported by projects MYRG118(Y1-L3)-FST12-SSW and MYRG117(Y1-L3)-FST12-MKM of the University of Macau.. IFAC-PapersOnLine 48:21, pages 283-288.
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Mouna Ben Hamed, Lassaad Sbita & Salah Beni Hamed. (2014) Direct current motor real time application of sensor and actuator faults detection and isolation based on structural residual space parity approach. Direct current motor real time application of sensor and actuator faults detection and isolation based on structural residual space parity approach.
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