Adaptive fault detection and diagnosis using parsimonious Gaussian mixture models trained with distributed computing techniques

Thiago A. Nakamura; Reinaldo M. Palhares; Walmir M. Caminhas; Benjamin R. Menezes; Mário Cesar M.M. de Campos; Ubirajara Fumega; Carlos H. de M. Bomfim; André P. Lemos

doi:10.1016/j.jfranklin.2016.11.024

Adaptive fault detection and diagnosis using parsimonious Gaussian mixture models trained with distributed computing techniques

Journal of the Franklin Institute ◽

10.1016/j.jfranklin.2016.11.024 ◽

2017 ◽

Vol 354 (6) ◽

pp. 2543-2572 ◽

Cited By ~ 6

Author(s):

Thiago A. Nakamura ◽

Reinaldo M. Palhares ◽

Walmir M. Caminhas ◽

Benjamin R. Menezes ◽

Mário Cesar M.M. de Campos ◽

...

Keyword(s):

Fault Detection ◽

Distributed Computing ◽

Mixture Models ◽

Gaussian Mixture Models ◽

Gaussian Mixture ◽

Fault Detection And Diagnosis ◽

Detection And Diagnosis

Download Full-text

A Hidden Markov Model application with Gaussian Mixture emissions for fault detection and diagnosis on a simulated AUV platform

OCEANS 2016 MTS/IEEE Monterey ◽

10.1109/oceans.2016.7761280 ◽

2016 ◽

Cited By ~ 2

Author(s):

Mariela De Lucas Alvarez ◽

David M. Lane

Keyword(s):

Fault Detection ◽

Markov Model ◽

Hidden Markov Model ◽

Hidden Markov ◽

Gaussian Mixture ◽

Fault Detection And Diagnosis ◽

Model Application ◽

Detection And Diagnosis

Download Full-text

Fault detection and diagnosis for nonlinear systems: A new adaptive Gaussian mixture modeling approach

Energy and Buildings ◽

10.1016/j.enbuild.2018.02.032 ◽

2018 ◽

Vol 166 ◽

pp. 477-488 ◽

Cited By ~ 14

Author(s):

Majid Karami ◽

Liping Wang

Keyword(s):

Nonlinear Systems ◽

Fault Detection ◽

Gaussian Mixture ◽

Mixture Modeling ◽

Fault Detection And Diagnosis ◽

Modeling Approach ◽

Gaussian Mixture Modeling ◽

Detection And Diagnosis ◽

Mixture Modeling Approach

Download Full-text

Hidden Markov Models and Gaussian Mixture Models for Bearing Fault Detection Using Fractals

The 2006 IEEE International Joint Conference on Neural Network Proceedings ◽

10.1109/ijcnn.2006.1716539 ◽

2006 ◽

Cited By ~ 2

Author(s):

T. Marwala ◽

U. Mahola ◽

F.V. Nelwamondo

Keyword(s):

Fault Detection ◽

Hidden Markov Models ◽

Mixture Models ◽

Markov Models ◽

Hidden Markov ◽

Gaussian Mixture Models ◽

Gaussian Mixture ◽

Bearing Fault ◽

Bearing Fault Detection

Download Full-text

Hidden Markov Models and Gaussian Mixture Models for Bearing Fault Detection Using Fractals

The 2006 IEEE International Joint Conference on Neural Network Proceedings ◽

10.1109/ijcnn.2006.247310 ◽

2006 ◽

Cited By ~ 7

Author(s):

T. Marwala ◽

U. Mahola ◽

F.V. Nelwamondo

Keyword(s):

Fault Detection ◽

Hidden Markov Models ◽

Mixture Models ◽

Markov Models ◽

Hidden Markov ◽

Gaussian Mixture Models ◽

Gaussian Mixture ◽

Bearing Fault ◽

Bearing Fault Detection

Download Full-text

A nonlinear kernel Gaussian mixture model based inferential monitoring approach for fault detection and diagnosis of chemical processes

Chemical Engineering Science ◽

10.1016/j.ces.2011.10.011 ◽

2012 ◽

Vol 68 (1) ◽

pp. 506-519 ◽

Cited By ~ 120

Author(s):

Jie Yu

Keyword(s):

Fault Detection ◽

Gaussian Mixture Model ◽

Mixture Model ◽

Gaussian Mixture ◽

Chemical Processes ◽

Fault Detection And Diagnosis ◽

Model Based ◽

Detection And Diagnosis

Download Full-text

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 ◽

Fault Detection And Diagnosis ◽

Detection And Diagnosis

Download Full-text

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 ◽

Fault Detection And Diagnosis ◽

Line Parameter ◽

On Line ◽

Detection And Diagnosis

Download Full-text

Fast Clustering of GARCH Processes Via Gaussian Mixture Models

SSRN Electronic Journal ◽

10.2139/ssrn.2071716 ◽

2012 ◽

Author(s):

Gian Piero Aielli ◽

Massimiliano Caporin

Keyword(s):

Mixture Models ◽

Gaussian Mixture Models ◽

Gaussian Mixture ◽

Garch Processes

Download Full-text

Parameter Estimation in Gaussian Mixture Models with Malicious Noise, without Balanced Mixing Coefficients

2018 56th Annual Allerton Conference on Communication, Control, and Computing (Allerton) ◽

10.1109/allerton.2018.8635825 ◽

2018 ◽

Cited By ~ 1

Author(s):

Jing Xu ◽

Jakub Marecek

Keyword(s):

Parameter Estimation ◽

Mixture Models ◽

Gaussian Mixture Models ◽

Gaussian Mixture ◽

Mixing Coefficients

Download Full-text

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 ◽

Fault Detection And Diagnosis ◽

Data Driven ◽

Knowledge Based ◽

Hybrid Approaches ◽

Combining Data ◽

Detection And Diagnosis

Download Full-text