Fault detection and diagnosis with parametric uncertainty using generalized polynomial chaos

Generalized Polynomial ◽

Parametric uncertainty assessment in hydrological modeling using the generalized polynomial chaos expansion

Journal of Hydrology ◽

10.1016/j.jhydrol.2019.124158 ◽

2019 ◽

Vol 579 ◽

pp. 124158 ◽

Cited By ~ 1

Author(s):

Junjun Hu ◽

Sheng Chen ◽

Ali Behrangi ◽

Huiling Yuan

Keyword(s):

Hydrological Modeling ◽

Polynomial Chaos ◽

Parametric Uncertainty ◽

Uncertainty Assessment ◽

Polynomial Chaos Expansion ◽

Chaos Expansion ◽

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 ◽

Cited By ~ 7

Author(s):

Yuncheng Du ◽

Thomas A. Duever ◽

Hector Budman

Keyword(s):

Fault Detection ◽

Nonlinear Dynamic ◽

Polynomial Chaos ◽

Dynamic Processes ◽

Fault Detection And Classification ◽

Generalized Polynomial ◽

Nonlinear Dynamic Processes

Wind turbine fault detection and diagnosis using LSTM neural network

2020 39th Chinese Control Conference (CCC) ◽

10.23919/ccc50068.2020.9188709 ◽

2020 ◽

Author(s):

Taoran Yang ◽

Jing Teng ◽

Changling Li ◽

Yizhan Feng

Keyword(s):

Neural Network ◽

Fault Detection ◽

Wind Turbine ◽

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

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

10.23919/eleco47770.2019.8990660 ◽

2019 ◽

Author(s):

Mecit Emre Duman ◽

Onder Suvak

Keyword(s):

Uncertainty Quantification ◽

Polynomial Chaos ◽

Active Filter ◽

Stochastic Collocation ◽

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 ◽

Fault Detection and Diagnosis of Induction Machine with On-Line Parameter Programming Facility

i-manager’s Journal on Instrumentation and Control Engineering ◽

10.26634/jic.2.1.2787 ◽

2014 ◽

Vol 2 (1) ◽

pp. 1-8

Author(s):

Sheikh Rafik Manihar Ahmed ◽

Keyword(s):

Fault Detection ◽

Induction Machine ◽

Line Parameter ◽

On Line ◽

Stochastic Modeling of Flow-Structure Interactions using Generalized Polynomial Chaos

10.21236/ada461832 ◽

2001 ◽

Cited By ~ 2

Author(s):

Dongbin Xiu ◽

Didier Lucor ◽

C. Su ◽

George E. Karniadakis

Keyword(s):

Flow Structure ◽

Stochastic Modeling ◽

Polynomial Chaos ◽

Modeling Uncertainty in Steady State Diffusion Problems via Generalized Polynomial Chaos

10.21236/ada460658 ◽

2002 ◽

Author(s):

Dongbin Xiu ◽

George E. Karniadakis

Keyword(s):

Steady State ◽

Polynomial Chaos ◽

Modeling Uncertainty ◽

State Diffusion ◽

Generalized Polynomial ◽

Steady State Diffusion ◽

Diffusion Problems

Overview on hybrid approaches to fault detection and diagnosis: Combining data-driven, physics-based and knowledge-based models

Procedia CIRP ◽

10.1016/j.procir.2021.03.041 ◽

2021 ◽

Vol 99 ◽

pp. 278-283

Author(s):

Yannick Wilhelm ◽

Peter Reimann ◽

Wolfgang Gauchel ◽

Bernhard Mitschang

Keyword(s):

Fault Detection ◽

Data Driven ◽

Knowledge Based ◽

Hybrid Approaches ◽

Combining Data ◽

2021 7th International Conference on Control, Instrumentation and Automation (ICCIA) ◽

SCADA data analytics for fault detection and diagnosis of wind turbines

10.1109/iccia52082.2021.9403538 ◽

2021 ◽

Author(s):

Ana Maria Peco Chacon ◽

Fausto Pedro Garcia Marquez

Keyword(s):

Fault Detection ◽

Wind Turbines ◽

Data Analytics ◽