A Process Quality Monitoring Approach of Automatic Aircraft Component Docking

Lecture Notes in Electrical Engineering - Computer Engineering and Networking ◽

10.1007/978-3-319-01766-2_54 ◽

2013 ◽

pp. 473-480

Author(s):

Guowei Yang ◽

Chengjing Zhang ◽

Xiaofeng Zhang

Keyword(s):

Process Quality ◽

Quality Monitoring ◽

Aircraft Component

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Real-time data stream analysis and entire process quality monitoring based on plant information

Journal of Computer Applications ◽

10.3724/sp.j.1087.2012.02935 ◽

2013 ◽

Vol 32 (10) ◽

pp. 2935-2939

Author(s):

Xiao-yong BIAN ◽

Xiao-long ZHANG ◽

Hai YU

Keyword(s):

Real Time ◽

Data Stream ◽

Process Quality ◽

Quality Monitoring ◽

Time Data ◽

Entire Process ◽

Real Time Data ◽

Data Stream Analysis

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Modified canonical variate analysis based on dynamic kernel decomposition for dynamic nonlinear process quality monitoring

ISA Transactions ◽

10.1016/j.isatra.2020.08.017 ◽

2020 ◽

Author(s):

Ming-Qing Zhang ◽

Xiong-Lin Luo

Keyword(s):

Nonlinear Process ◽

Process Quality ◽

Canonical Variate Analysis ◽

Quality Monitoring ◽

Canonical Variate ◽

Variate Analysis

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Evaluacion de una Version Modificada, en Suecia, del Rush Medicus Nursing Process Quality Monitoring Instrument in Acute Patients

International Journal for Quality in Health Care ◽

10.1093/intqhc/6.1.111-b ◽

1994 ◽

Vol 6 (1) ◽

pp. 111-112

Author(s):

C. GOTHERSTROM ◽

E. H. y J. CARSTENSEN

Keyword(s):

Process Quality ◽

Quality Monitoring ◽

Nursing Process ◽

Monitoring Instrument ◽

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Development of MES-based Real Time Statistical Process Quality Monitoring System

2008 IEEE International Symposium on Knowledge Acquisition and Modeling Workshop ◽

10.1109/kamw.2008.4810410 ◽

2008 ◽

Author(s):

Shusong Yu ◽

Jitao Fang ◽

Shuo Shi ◽

Haibin Li

Keyword(s):

Real Time ◽

Monitoring System ◽

Process Quality ◽

Quality Monitoring ◽

Statistical Process

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Supervised and semi-supervised probabilistic learning with deep neural networks for concurrent process-quality monitoring

Neural Networks ◽

10.1016/j.neunet.2020.11.006 ◽

2020 ◽

Author(s):

Kai Wang ◽

Xiaofeng Yuan ◽

Junghui Chen ◽

Yalin Wang

Keyword(s):

Neural Networks ◽

Deep Neural Networks ◽

Process Quality ◽

Quality Monitoring ◽

Probabilistic Learning ◽

Concurrent Process

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ARCAgent – Weld Process Quality Monitoring System

10.5703/1288284315921 ◽

2007 ◽

Keyword(s):

Monitoring System ◽

Process Quality ◽

Quality Monitoring

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Testing a Modified Swedish Version of the Rush Medicus Nursing Process Quality Monitoring Instrument in Short-term Care

International Journal for Quality in Health Care ◽

10.1093/intqhc/6.1.77 ◽

1994 ◽

Vol 6 (1) ◽

pp. 77-83 ◽

Author(s):

C. GOTHERSTROM ◽

E. HAMRIN ◽

J. CARSTENSEN

Keyword(s):

Process Quality ◽

Quality Monitoring ◽

Nursing Process ◽

Swedish Version ◽

Term Care ◽

Monitoring Instrument

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Quality-oriented Statistical Tolerancing and its Application in Process Quality Monitoring

2010 3rd International Conference on Information Management, Innovation Management and Industrial Engineering ◽

10.1109/iciii.2010.269 ◽

2010 ◽

Author(s):

Yu Zhang ◽

Musheng Yang ◽

Yanhu Yin ◽

Jianhui Xue

Keyword(s):

Process Quality ◽

Quality Monitoring

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Wavelet-based process quality monitoring and diagnosing

International Journal of Materials and Product Technology ◽

10.1504/ijmpt.2008.019779 ◽

2008 ◽

Vol 33 (1/2) ◽

pp. 153

Author(s):

Daoyu Liu ◽

Pingyu Jiang

Keyword(s):

Process Quality ◽

Quality Monitoring

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Probabilistic latent variable regression model for process-quality monitoring

Chemical Engineering Science ◽

10.1016/j.ces.2014.04.045 ◽

2014 ◽

Vol 116 ◽

pp. 296-305 ◽

Author(s):

Le Zhou ◽

Junghui Chen ◽

Zhihuan Song ◽

Zhiqiang Ge ◽

Aimin Miao

Keyword(s):

Regression Model ◽

Latent Variable ◽

Process Quality ◽

Quality Monitoring ◽

Latent Variable Regression

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