High-Speed Monitoring of Multidimensional Processes Using Bayesian Updates-Reference-Cited by-同舟云学术

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High-Speed Monitoring of Multidimensional Processes Using Bayesian Updates

Published:2022 Issue: Volume:10 Page:97450-97464
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Kim Sangahn¹,Turkoz Mehmet²,Baek Jung Woo³^ORCID

Affiliation:

1. Department of Business Analytics and Actuarial Science, Siena College, Loudonville, NY, USA

2. Department of Management, Marketing and Professional Sales, William Paterson University, Wayne, NJ, USA

3. Department of Industrial Engineering, Chosun University, Gwangju, South Korea

Funder

Chosun University 2019

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/9668973/09888137.pdf?arnumber=9888137

Reference51 articles.

1. Quality control and improvement for multistage systems: A survey

2. Monitoring Variability and Analyzing Multivariate Autocorrelated Processes

3. Bayesian sequential update for monitoring and control of high-dimensional processes

4. Dynamic Bayesian monitoring and detection for partially observable machines under multivariate observations

5. A Bayesian Approach for Interpreting Mean Shifts in Multivariate Quality Control

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Comprehensive review of high-dimensional monitoring methods: trends, insights, and interconnections;Quality Technology & Quantitative Management;2024-08-26

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