Generalized Polynomial Chaos-Based Fault Detection and Classification for Nonlinear Dynamic Processes

Industrial & Engineering Chemistry Research ◽

10.1021/acs.iecr.5b04694 ◽

2016 ◽

Vol 55 (7) ◽

pp. 2069-2082 ◽

Author(s):

Yuncheng Du ◽

Thomas A. Duever ◽

Hector Budman

Keyword(s):

Fault Detection ◽

Nonlinear Dynamic ◽

Polynomial Chaos ◽

Dynamic Processes ◽

Generalized Polynomial Chaos ◽

Fault Detection And Classification ◽

Generalized Polynomial ◽

Nonlinear Dynamic Processes

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Fault detection and diagnosis with parametric uncertainty using generalized polynomial chaos

Computers & Chemical Engineering ◽

10.1016/j.compchemeng.2015.02.009 ◽

2015 ◽

Vol 76 ◽

pp. 63-75 ◽

Author(s):

Yuncheng Du ◽

Thomas A. Duever ◽

Hector Budman

Keyword(s):

Fault Detection ◽

Polynomial Chaos ◽

Parametric Uncertainty ◽

Fault Detection And Diagnosis ◽

Generalized Polynomial Chaos ◽

Generalized Polynomial ◽

Detection And Diagnosis

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Non-intrusive generalized polynomial chaos for the robust stability analysis of uncertain nonlinear dynamic friction systems

Journal of Sound and Vibration ◽

10.1016/j.jsv.2012.09.046 ◽

2013 ◽

Vol 332 (5) ◽

pp. 1204-1215 ◽

Author(s):

Lyes Nechak ◽

Sébastien Berger ◽

Evelyne Aubry

Keyword(s):

Stability Analysis ◽

Robust Stability ◽

Nonlinear Dynamic ◽

Polynomial Chaos ◽

Dynamic Friction ◽

Generalized Polynomial Chaos ◽

Generalized Polynomial ◽

Robust Stability Analysis

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Fault detection based on augmented kernel Mahalanobis distance for nonlinear dynamic processes

Computers & Chemical Engineering ◽

10.1016/j.compchemeng.2017.11.010 ◽

2018 ◽

Vol 109 ◽

pp. 311-321 ◽

Author(s):

Jun Shang ◽

Maoyin Chen ◽

Hanwen Zhang

Keyword(s):

Fault Detection ◽

Mahalanobis Distance ◽

Nonlinear Dynamic ◽

Dynamic Processes ◽

Nonlinear Dynamic Processes

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Non-intrusive generalized polynomial chaos approach to the stability analysis of uncertain nonlinear dynamic systems

Eighth International Multi-Conference on Systems, Signals & Devices ◽

10.1109/ssd.2011.5767403 ◽

2011 ◽

Author(s):

L Nechak ◽

S Berger ◽

E Aubry

Keyword(s):

Stability Analysis ◽

Dynamic Systems ◽

Nonlinear Dynamic ◽

Polynomial Chaos ◽

Nonlinear Dynamic Systems ◽

Generalized Polynomial Chaos ◽

Generalized Polynomial ◽

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Fault detection of nonlinear dynamic processes using dynamic kernel principal component analysis

2008 7th World Congress on Intelligent Control and Automation ◽

10.1109/wcica.2008.4593402 ◽

2008 ◽

Author(s):

Ting Wang ◽

Xiaogang Wang ◽

Yingwei Zhang ◽

Hong Zhou

Keyword(s):

Principal Component Analysis ◽

Fault Detection ◽

Nonlinear Dynamic ◽

Principal Component ◽

Component Analysis ◽

Kernel Principal Component Analysis ◽

Dynamic Processes ◽

Nonlinear Dynamic Processes

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Fault detection and identification based on explicit polynomial mapping and combined statistic in nonlinear dynamic processes

IEEE Access ◽

10.1109/access.2021.3124948 ◽

2021 ◽

pp. 1-1

Author(s):

Liangliang Shang ◽

Kexin Shi ◽

Chen Ma ◽

Aibing Qiu ◽

Liang Hua

Keyword(s):

Fault Detection ◽

Nonlinear Dynamic ◽

Dynamic Processes ◽

Polynomial Mapping ◽

Detection And Identification ◽

Fault Detection And Identification ◽

Nonlinear Dynamic Processes

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Fault detection based on auto-regressive extreme learning machine for nonlinear dynamic processes

Applied Soft Computing ◽

10.1016/j.asoc.2021.107319 ◽

2021 ◽

Vol 106 ◽

pp. 107319

Author(s):

Yang Chen ◽

Chudong Tong ◽

Yinghui Ge ◽

Ting Lan

Keyword(s):

Fault Detection ◽

Extreme Learning Machine ◽

Nonlinear Dynamic ◽

Dynamic Processes ◽

Auto Regressive ◽

Learning Machine ◽

Nonlinear Dynamic Processes

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Generalized Polynomial Chaos Based Stochastic Collocation on the Uncertainty Quantification of CMOS Active Filter Circuits

2019 11th International Conference on Electrical and Electronics Engineering (ELECO) ◽

10.23919/eleco47770.2019.8990660 ◽

2019 ◽

Author(s):

Mecit Emre Duman ◽

Onder Suvak

Keyword(s):

Uncertainty Quantification ◽

Polynomial Chaos ◽

Active Filter ◽

Stochastic Collocation ◽

Generalized Polynomial Chaos ◽

Generalized Polynomial

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Bayesian Updates to Probabilistic Aircraft Models in Generalized Polynomial Chaos Form from Measured Data

AIAA Scitech 2021 Forum ◽

10.2514/6.2021-1365 ◽

2021 ◽

Author(s):

Michael D. DeVore ◽

Jared Cooper ◽

Adam Reed

Keyword(s):

Polynomial Chaos ◽

Measured Data ◽

Generalized Polynomial Chaos ◽

Generalized Polynomial

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Stochastic Modeling of Flow-Structure Interactions using Generalized Polynomial Chaos

10.21236/ada461832 ◽

2001 ◽

Author(s):

Dongbin Xiu ◽

Didier Lucor ◽

C. Su ◽

George E. Karniadakis

Keyword(s):

Flow Structure ◽

Stochastic Modeling ◽

Polynomial Chaos ◽

Generalized Polynomial Chaos ◽

Generalized Polynomial

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