Imaging Multivariate Time-Series to Improve Fault Detection: Application on Tennessee Eastman Process

Tennessee Eastman Process

Fault Detection in Multivariate Time Series with a Coding Approach

ICANN ’93 ◽

10.1007/978-1-4471-2063-6_268 ◽

1993 ◽

pp. 926-929 ◽

Cited By ~ 3

Author(s):

Peter Weierich

Keyword(s):

Time Series ◽

Fault Detection ◽

Computer Aided Chemical Engineering - 11th International Symposium on Process Systems Engineering ◽

Pattern Recognition using Multivariate Time Series for Fault Detection in a Thermoeletric Unit

10.1016/b978-0-444-59507-2.50055-x ◽

2012 ◽

pp. 315-319 ◽

Cited By ~ 3

Author(s):

Otacílio José Pereira ◽

Luciana de Almeida Pacheco ◽

Sérgio Sá Barreto ◽

Weliton Emanuel ◽

Cristiano Hora de Oliveira Fontes ◽

...

Keyword(s):

Time Series ◽

Pattern Recognition ◽

Fault Detection ◽

Multivariate Time-series Classification for Automated Fault Detection in Satellite Power Systems

2019 International Conference on Communication and Signal Processing (ICCSP) ◽

10.1109/iccsp.2019.8698017 ◽

2019 ◽

Cited By ~ 1

Author(s):

S. Dheepadharshani ◽

S. Anandh ◽

K. B. Bhavinaya ◽

R. Lavanya

Keyword(s):

Time Series ◽

Fault Detection ◽

Power Systems ◽

Time Series Classification

Pattern recognition in multivariate time series – A case study applied to fault detection in a gas turbine

Engineering Applications of Artificial Intelligence ◽

10.1016/j.engappai.2015.11.005 ◽

2016 ◽

Vol 49 ◽

pp. 10-18 ◽

Cited By ~ 22

Author(s):

Cristiano Hora Fontes ◽

Otacílio Pereira

Keyword(s):

Time Series ◽

Pattern Recognition ◽

Fault Detection ◽

Gas Turbine ◽

A sparse multivariate time series model-based fault detection method for gearboxes under variable speed condition

Mechanical Systems and Signal Processing ◽

10.1016/j.ymssp.2021.108539 ◽

2022 ◽

Vol 167 ◽

pp. 108539

Author(s):

Yuejian Chen ◽

Ming J. Zuo

Keyword(s):

Time Series ◽

Fault Detection ◽

Detection Method ◽

Time Series Model ◽

Variable Speed ◽

Speed Condition ◽

Model Based

Fault detection in multi-sensor networks based on multivariate time-series models and orthogonal transformations

Information Fusion ◽

10.1016/j.inffus.2014.03.006 ◽

2014 ◽

Vol 20 ◽

pp. 272-291 ◽

Cited By ~ 66

Author(s):

Francisco Serdio ◽

Edwin Lughofer ◽

Kurt Pichler ◽

Thomas Buchegger ◽

Markus Pichler ◽

...

Keyword(s):

Time Series ◽

Sensor Networks ◽

Fault Detection ◽

Time Series Models

Discerning cognitive stages in a working memory and decision making task from human fMRI data using multivariate time series analysis

Frontiers in Computational Neuroscience ◽

10.3389/conf.fncom.2012.55.00228 ◽

2012 ◽

Vol 6 ◽

Author(s):

Durstewitz Daniel

Keyword(s):

Decision Making ◽

Working Memory ◽

Time Series ◽

Time Series Analysis ◽

Fmri Data ◽

Series Analysis ◽

Multivariate Time Series Analysis

Fault Detection based on Information Extraction from Measured Time-series Data in Building Air-conditioning System

IEEJ Transactions on Electronics Information and Systems ◽

10.1541/ieejeiss.135.651 ◽

2015 ◽

Vol 135 (6) ◽

pp. 651-659 ◽

Cited By ~ 2

Author(s):

Masaki Yumoto

Keyword(s):

Time Series ◽

Fault Detection ◽

Information Extraction ◽

Air Conditioning ◽

Time Series Data ◽

Series Data ◽

Air Conditioning System ◽

Measured Time

Asymptotic Distributions of Functions of the Eigenvalues of the Sample Covariance Matrix and Canonical Correlation Matrix in Multivariate Time Series

10.21236/ada170282 ◽

1986 ◽

Author(s):

M. Taniguchi ◽

P. R. Krishnaiah

Keyword(s):

Time Series ◽

Covariance Matrix ◽

Canonical Correlation ◽

Correlation Matrix ◽

Asymptotic Distributions ◽

Sample Covariance Matrix ◽

Sample Covariance

Modeling Multivariate Time Series in Economics: From Auto-Regressions to Recurrent Neural Networks

SSRN Electronic Journal ◽

10.2139/ssrn.3589337 ◽

2020 ◽

Author(s):

Sergiy Verstyuk

Keyword(s):

Neural Networks ◽

Time Series ◽

Recurrent Neural Networks ◽