Fault Detection of Nonlinear Systems Using Multi-model Structure: Application to a Ship Propulsion System

Lecture Notes in Mechanical Engineering - Design and Modeling of Mechanical Systems ◽

10.1007/978-3-642-37143-1_19 ◽

2013 ◽

pp. 151-158 ◽

Cited By ~ 1

Author(s):

Dallagi Habib

Keyword(s):

Nonlinear Systems ◽

Fault Detection ◽

Propulsion System ◽

Model Structure ◽

Ship Propulsion

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KDI-Based Fault Detection of Non-linear Systems by Using Quasi-ARMAX Model and Its Application to Ship Propulsion System

Proceedings of the ISCIE International Symposium on Stochastic Systems Theory and its Applications ◽

10.5687/sss.2002.75 ◽

2002 ◽

Vol 2002 (0) ◽

pp. 75-80

Author(s):

Kousuke Kumamaru ◽

Kouhei Abe ◽

Katsuhiro Inoue

Keyword(s):

Fault Detection ◽

Linear Systems ◽

Propulsion System ◽

Ship Propulsion ◽

Non Linear ◽

Armax Model ◽

Non Linear Systems

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Benchmark application of fuzzy observers to fault detection on a ship propulsion system

1999 European Control Conference (ECC) ◽

10.23919/ecc.1999.7100060 ◽

1999 ◽

Cited By ~ 1

Author(s):

P. Amann ◽

J. M. Perronne ◽

G. L Gissinger ◽

P. M. Frank

Keyword(s):

Fault Detection ◽

Propulsion System ◽

Ship Propulsion

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Discussion on: A Stacked Model Structure for Off-Line Parameter Variation Estimation in Multi-equilibria Nonlinear Systems

European Journal of Control ◽

10.3166/ejc.12.365-372 ◽

2006 ◽

Vol 12 (4) ◽

pp. 365-372

Author(s):

B Wayne Bequette

Keyword(s):

Nonlinear Systems ◽

Parameter Variation ◽

Model Structure ◽

Line Parameter

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Non-fragile H∞ Fault Detection for Nonlinear Systems with Stochastic Communication Protocol and Channel Fadings

International Journal of Control Automation and Systems ◽

10.1007/s12555-020-0137-y ◽

2021 ◽

Vol 19 (6) ◽

pp. 2150-2162

Author(s):

Weijian Ren ◽

Mengyu Gao ◽

Chaohai Kang

Keyword(s):

Nonlinear Systems ◽

Fault Detection ◽

Communication Protocol ◽

Channel Fadings

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Real-time Simulation of Ship Propulsion System

Marine Engineering ◽

10.5988/jime.39.913 ◽

2004 ◽

Vol 39 (12) ◽

pp. 913-921

Author(s):

Xianfu Hu ◽

Hideaki Sugita ◽

Takeshi Nakazawa ◽

Yihuai Hu ◽

Kengo Tanaka

Keyword(s):

Real Time ◽

Propulsion System ◽

Real Time Simulation ◽

Ship Propulsion ◽

Time Simulation

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Availability of a Ship Propulsion System under Aging Effects

2013 IEEE International Conference on Systems, Man, and Cybernetics ◽

10.1109/smc.2013.568 ◽

2013 ◽

Author(s):

Nobuo Mitomom ◽

Tadatsugi Okazaki ◽

Tunc Aldemir

Keyword(s):

Propulsion System ◽

Aging Effects ◽

Ship Propulsion

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A robust fault detection filter for polynomial nonlinear systems via sum-of-squares decompositions

Systems & Control Letters ◽

10.1016/j.sysconle.2012.05.001 ◽

2012 ◽

Vol 61 (8) ◽

pp. 839-848 ◽

Cited By ~ 15

Author(s):

Giuseppe Franzè ◽

Domenico Famularo

Keyword(s):

Nonlinear Systems ◽

Fault Detection ◽

Sum Of Squares ◽

Fault Detection Filter ◽

Robust Fault Detection ◽

Detection Filter

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Robust fault detection using iterative learning observer for nonlinear systems

Fifth World Congress on Intelligent Control and Automation (IEEE Cat. No.04EX788) ◽

10.1109/wcica.2004.1340967 ◽

2004 ◽

Author(s):

Ma Liling ◽

Wang Junzheng ◽

Wang Shoukun

Keyword(s):

Nonlinear Systems ◽

Fault Detection ◽

Iterative Learning ◽

Robust Fault Detection

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Online fault detection and isolation of nonlinear systems

Proceedings of the 1999 American Control Conference (Cat. No. 99CH36251) ◽

10.1109/acc.1999.786267 ◽

1999 ◽

Cited By ~ 4

Keyword(s):

Nonlinear Systems ◽

Fault Detection ◽

Fault Detection And Isolation

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Fault detection via data-driven K-gap metric with application to ship propulsion systems

2018 37th Chinese Control Conference (CCC) ◽

10.23919/chicc.2018.8483391 ◽

2018 ◽

Cited By ~ 1

Author(s):

He Li ◽

Ying Yang ◽

Zhengen Zhao ◽

Jing zhou ◽

Ruijie Liu

Keyword(s):

Fault Detection ◽

Data Driven ◽

Propulsion Systems ◽

Gap Metric ◽

Ship Propulsion

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