Particle filtering based multiple-model approach to fault diagnosis in nonlinear stochastic systems

2001 European Control Conference (ECC) ◽

10.23919/ecc.2001.7076109 ◽

2001 ◽

Author(s):

Ping Li ◽

Visakan Kadirkamanathan

Keyword(s):

Fault Diagnosis ◽

Particle Filtering ◽

Stochastic Systems ◽

Multiple Model ◽

Nonlinear Stochastic Systems ◽

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Particle filtering based likelihood ratio approach to fault diagnosis in nonlinear stochastic systems

IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews) ◽

10.1109/5326.971661 ◽

2001 ◽

Vol 31 (3) ◽

pp. 337-343 ◽

Author(s):

Ping Li ◽

V. Kadirkamanathan

Keyword(s):

Fault Diagnosis ◽

Likelihood Ratio ◽

Particle Filtering ◽

Stochastic Systems ◽

Nonlinear Stochastic Systems ◽

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Fault diagnosis in nonlinear stochastic systems via particle filtering

2015 23rd Telecommunications Forum Telfor (TELFOR) ◽

10.1109/telfor.2015.7377482 ◽

2015 ◽

Author(s):

Predrag R. Tadic ◽

Zeljko M. Durovic ◽

Aleksandra Lj. Marjanovic ◽

Sanja M. Vujnovic

Keyword(s):

Fault Diagnosis ◽

Particle Filtering ◽

Stochastic Systems ◽

Nonlinear Stochastic Systems

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Sensor Fault Diagnosis and Estimation Based on Multiple-Model Approach for Aeroengine

2018 IEEE CSAA Guidance, Navigation and Control Conference (CGNCC) ◽

10.1109/gncc42960.2018.9018924 ◽

2018 ◽

Author(s):

Wanli Zhao ◽

Yingqing Guo ◽

Chenyang Lai

Keyword(s):

Fault Diagnosis ◽

Multiple Model ◽

Sensor Fault ◽

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Distributed Fault Diagnosis of Nonlinear Stochastic Systems With Monitoring Networks

IEEE Access ◽

10.1109/access.2020.3011725 ◽

2020 ◽

Vol 8 ◽

pp. 135933-135947

Author(s):

Ioannis A. Raptis ◽

Elaheh Noursadeghi

Keyword(s):

Fault Diagnosis ◽

Stochastic Systems ◽

Monitoring Networks ◽

Nonlinear Stochastic Systems

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Nonlinear Filters Based Fault Diagnosis in Nonlinear Stochastic Systems

2006 Chinese Control Conference ◽

10.1109/chicc.2006.280646 ◽

2006 ◽

Author(s):

Wenbo He ◽

Shirong Liu ◽

Wenlei Li

Keyword(s):

Fault Diagnosis ◽

Stochastic Systems ◽

Nonlinear Filters ◽

Nonlinear Stochastic Systems

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Adaptive Control of Nonlinear Stochastic Systems by Particle Filtering

The Fourth International Conference on Control and Automation 2003 ICCA Final Program and Book of Abstracts ICCA-03 ◽

10.1109/icca.2003.1595150 ◽

2003 ◽

Author(s):

A. Greenfield ◽

A. Brockwell

Keyword(s):

Adaptive Control ◽

Particle Filtering ◽

Stochastic Systems ◽

Nonlinear Stochastic Systems

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Particle Filtering Algorithm for Fault Diagnosis of Multiple Model Hybrid Systems with Incomplete Models

ACTA AUTOMATICA SINICA ◽

10.3724/sp.j.1004.2008.00581 ◽

2008 ◽

Vol 34 (5) ◽

pp. 581-587 ◽

Author(s):

Zhuo-Hua DUAN

Keyword(s):

Fault Diagnosis ◽

Hybrid Systems ◽

Particle Filtering ◽

Multiple Model ◽

Filtering Algorithm ◽

Incomplete Models

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Fault Diagnosis of Non-Gaussian Nonlinear Stochastic Systems Based on Rational Square-Root Approximation Model

Lecture Notes in Electrical Engineering - Proceedings of the International Conference on Information Engineering and Applications (IEA) 2012 ◽

10.1007/978-1-4471-4844-9_79 ◽

2013 ◽

pp. 591-598

Author(s):

Lina Yao ◽

Jifeng Qin ◽

Hong Wang

Keyword(s):

Fault Diagnosis ◽

Stochastic Systems ◽

Square Root ◽

Approximation Model ◽

Nonlinear Stochastic Systems ◽

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Robust fault diagnosis in a chemical process using multiple-model approach

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

10.1109/cdc.2001.980089 ◽

2003 ◽

Author(s):

R.J. Patton ◽

C.J. Lopez Toribio ◽

S. Simani

Keyword(s):

Fault Diagnosis ◽

Chemical Process ◽

Multiple Model ◽

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Fault Diagnosis on Industrial Systems Based on a Multiple Model Approach

IFAC Proceedings Volumes ◽

10.1016/s1474-6670(17)31008-x ◽

2004 ◽

Vol 37 (15) ◽

pp. 107-112

Author(s):

M. Rodrigues ◽

M. Adam-Medina ◽

D. Theilliol ◽

D. Sauter

Keyword(s):

Fault Diagnosis ◽

Multiple Model ◽

Industrial Systems ◽

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