Robust Fault Detection for Multi-model Jumping System

Multi-model Jumping Systems: Robust Filtering and Fault Detection ◽

10.1007/978-981-33-6474-5_6 ◽

2021 ◽

pp. 95-115

Author(s):

Shuping He ◽

Xiaoli Luan

Keyword(s):

Fault Detection ◽

Robust Fault Detection

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A stochastic Functional Model based method for random vibration based robust fault detection under variable non–measurable operating conditions with application to railway vehicle suspensions

Journal of Sound and Vibration ◽

10.1016/j.jsv.2019.115006 ◽

2020 ◽

Vol 466 ◽

pp. 115006 ◽

Author(s):

T.-C.I. Aravanis ◽

J.S. Sakellariou ◽

S.D. Fassois

Keyword(s):

Fault Detection ◽

Random Vibration ◽

Functional Model ◽

Operating Conditions ◽

Railway Vehicle ◽

Vehicle Suspensions ◽

Model Based ◽

Robust Fault Detection ◽

Stochastic Functional

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Adaptive robust fault detection and control for injection machine mold closing process with accurate parameter estimations

2021 IEEE International Conference on Mechatronics (ICM) ◽

10.1109/icm46511.2021.9385687 ◽

2021 ◽

Author(s):

Jianfeng Liao ◽

Haihui Yuan ◽

Wei Song ◽

Jason Gu

Keyword(s):

Fault Detection ◽

Parameter Estimations ◽

Robust Fault Detection ◽

Machine Mold ◽

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Robust fault detection of turbofan engines subject to adaptive controllers via a Total Measurable Fault Information Residual (ToMFIR) technique

ISA Transactions ◽

10.1016/j.isatra.2013.12.032 ◽

2014 ◽

Vol 53 (5) ◽

pp. 1383-1388 ◽

Author(s):

Wen Chen ◽

Fahmida N. Chowdhury ◽

Ana Djuric ◽

Chih-Ping Yeh

Keyword(s):

Fault Detection ◽

Adaptive Controllers ◽

Turbofan Engines ◽

Robust Fault Detection ◽

Fault Information

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Hybrid bond graph model based for robust fault detection and isolation

Proceedings of the Institution of Mechanical Engineers Part I Journal of Systems and Control Engineering ◽

10.1177/0959651815616026 ◽

2015 ◽

Vol 230 (2) ◽

pp. 145-163 ◽

Author(s):

Mohamed Ilyas Rahal ◽

Belkacem Ould Bouamama ◽

Abdelmajid Meghebbar

Keyword(s):

Fault Detection ◽

Graph Model ◽

Fault Detection And Isolation ◽

Model Based ◽

Robust Fault Detection

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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 ◽

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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Robust fault detection for wind turbine systems

2014 20th International Conference on Automation and Computing ◽

10.1109/iconac.2014.6935457 ◽

2014 ◽

Author(s):

Yusheng Liu ◽

Ding-Li Yu

Keyword(s):

Fault Detection ◽

Wind Turbine ◽

Robust Fault Detection

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Robust Fault Detection for a Class of Discrete-time LPV Systems with Time-delays

2006 1st International Symposium on Systems and Control in Aerospace and Astronautics ◽

10.1109/isscaa.2006.1627590 ◽

2006 ◽

Author(s):

Changhong Wang ◽

Hongru Wang ◽

Huijun Gao ◽

Ligang Wu

Keyword(s):

Fault Detection ◽

Discrete Time ◽

Time Delays ◽

Lpv Systems ◽

Robust Fault Detection

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An LMI approach to robust fault detection filter design for discrete-time systems with model uncertainty

Proceedings of the 40th IEEE Conference on Decision and Control (Cat. No.01CH37228) ◽

10.1109/cdc.2001.980421 ◽

2003 ◽

Author(s):

Maiying Zhong ◽

S.X. Ding ◽

Bingyong Tang ◽

Ping Zhang ◽

Torsten Jeinsch

Keyword(s):

Fault Detection ◽

Discrete Time ◽

Model Uncertainty ◽

Filter Design ◽

Lmi Approach ◽

Fault Detection Filter ◽

Discrete Time Systems ◽

Robust Fault Detection ◽

Time Systems ◽

Detection Filter

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Optimal Robust Fault Detection for Linear Discrete Time Systems

Journal of Control Science and Engineering ◽

10.1155/2008/829459 ◽

2008 ◽

Vol 2008 ◽

pp. 1-16 ◽

Author(s):

Nike Liu ◽

Kemin Zhou

Keyword(s):

Fault Detection ◽

Discrete Time ◽

Filter Design ◽

Algebraic Riccati Equation ◽

Optimization Criteria ◽

Robust Detection ◽

Discrete Time Systems ◽

Robust Fault Detection ◽

Time Systems ◽

Detection Filter

This paper considers robust fault-detection problems for linear discrete time systems. It is shown that the optimal robust detection filters for several well-recognized robust fault-detection problems, such asℋ−/ℋ∞,ℋ2/ℋ∞, andℋ∞/ℋ∞problems, are the same and can be obtained by solving a standard algebraic Riccati equation. Optimal filters are also derived for many other optimization criteria and it is shown that some well-studied and seeming-sensible optimization criteria for fault-detection filter design could lead to (optimal) but useless fault-detection filters.

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