Directional fault classification for correlated High-Dimensional data streams using hidden Markov models-Reference-Cited by-同舟云学术

Directional fault classification for correlated High-Dimensional data streams using hidden Markov models

Published:2023-06-21 Issue:5 Volume:55 Page:535-549
ISSN:0022-4065
Container-title:Journal of Quality Technology
language:en
Short-container-title:Journal of Quality Technology

Author:

He Yan¹^ORCID,Kang Yicheng²^ORCID,Tsung Fugee³^ORCID,Xiang Dongdong¹^ORCID

Affiliation:

1. Key Laboratory of Advanced Theory and Application in Statistics and Data Science-MOE, School of Statistics, East China Normal University, Shanghai, China

2. Farmer School of Business, Miami University, Oxford, Ohio, USA

3. Department of Industrial Engineering and Decision Analytics, Hong Kong University of Science and Technology, Hong Kong

Publisher

Informa UK Limited

Subject

Industrial and Manufacturing Engineering,Management Science and Operations Research,Strategy and Management,Safety, Risk, Reliability and Quality

Link

https://www.tandfonline.com/doi/pdf/10.1080/00224065.2023.2210320

Reference45 articles.

1. The AutoregressiveT2 Chart for Monitoring Univariate Autocorrelated Processes

2. Asymptotic normality of the maximum-likelihood estimator for general hidden Markov models

3. The Future of Quality Technology: From a Manufacturing to a Knowledge Economy & From Defects to Innovations

4. Simultaneous Testing of Grouped Hypotheses: Finding Needles in Multiple Haystacks

5. A Least Angle Regression Control Chart for Multidimensional Data

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