Robust Hotelling T2 control chart using reweighted minimum vector variance estimators

2014 ◽  
Author(s):  
Hazlina Ali ◽  
Sharipah Soaad Syed Yahaya ◽  
Zurni Omar
Keyword(s):  
Control Chart ◽  
Variance Estimators ◽  
T2 Control Chart ◽  
Minimum Vector

A Robust Bivariate Control Chart Alternative to the Hotelling's T2 Control Chart

2012 ◽  
Vol 30 (1) ◽  
pp. 25-35 ◽  
Author(s):  
Moustafa Omar Ahmed Abu-Shawiesh ◽  
B. M. Golam Kibria ◽  
Florence George
Keyword(s):  
Control Chart ◽  
Hotelling's T2 ◽  
Hotelling’S T2 ◽  
T2 Control Chart

A multivariate synthetic double sampling T2 control chart

2013 ◽  
Vol 64 (1) ◽  
pp. 179-189 ◽  
Author(s):  
Michael B.C. Khoo ◽  
Zhang Wu ◽  
Philippe Castagliola ◽  
H.C. Lee
Keyword(s):  
Control Chart ◽  
Double Sampling ◽  
T2 Control Chart

Hotelling’s T2 control chart with double warning lines

2006 ◽  
Vol 47 (4) ◽  
pp. 569-593 ◽  
Author(s):  
Alireza Faraz ◽  
Ahmad Parsian
Keyword(s):  
Control Chart ◽  
Hotelling's T2 ◽  
Hotelling’S T2 ◽  
T2 Control Chart

scholarly journals Design of Multivariate Hotelling’s T2 Control Chart Based on Medical Images Processing

2019 ◽  
Vol 16 (Special Issue) ◽  
Author(s):  
Mahmood Shahrabi ◽  
Amirhossein Amiri ◽  
Hamidreza Saligheh Rad ◽  
Sedigheh Ghofrani
Keyword(s):  
Control Chart ◽  
Medical Images ◽  
Hotelling's T2 ◽  
Hotelling’S T2 ◽  
Images Processing ◽  
T2 Control Chart

scholarly journals A new alternative Hotelling’s T2 control chart using MEWMA to monitor minimal mean deviation

2021 ◽  
Vol 336 ◽  
pp. 09021
Author(s):  
Kunyun Wang ◽  
Qianqian Li ◽  
Guangdong Li
Keyword(s):  
Production Process ◽  
Control Chart ◽  
Average Run Length ◽  
Quality Characteristics ◽  
Mean Deviation ◽  
Sample Sizes ◽  
Forgetting Factor ◽  
Good Efficiency ◽  
Run Length ◽  
T2 Control Chart

Hotelling T2 control chart not only reflects the correla-tions between different quality characteristics but also has good efficiency on monitoring multivariate quality characteristics in production process. A new alternative control chart was constructed after the original products data are processed by using multivariate exponentially weighted moving average for cumulating failure effects because T2 control chart is ineffective on detecting minimal mean deviations. Exemplified by bivariate quality characteristics, we compared the monitoring effects of Hotelling T2 control chart and new control chart which is called as T2MEWMA control chart. Paper showed the improved T2MEWMA control chart has smaller average run length than Hotelling T2 control chart on monitoring minimal mean deviation and that also studied the relationships between T2MEWMA control chart’s forgetting factor, sample sizes N and type II error. It indicated the smaller forgetting factor is more sensitive to minimal mean value deviation and that average run length tended to become bigger gradually along with increase of sample sizes N when production process is out of control.

scholarly journals Detection of intermittent faults based on an optimally weighted moving average T2 control chart with stationary observations

Automatica ◽  
2021 ◽  
Vol 123 ◽  
pp. 109298
Author(s):  
Yinghong Zhao ◽  
Xiao He ◽  
Junfeng Zhang ◽  
Hongquan Ji ◽  
Donghua Zhou ◽  
...  
Keyword(s):  
Control Chart ◽  
Moving Average ◽  
Intermittent Faults ◽  
T2 Control Chart ◽  
Weighted Moving Average

A Practical Approach for Interpreting Multivariate T2 Control Chart Signals

1997 ◽  
Vol 29 (4) ◽  
pp. 396-406 ◽  
Author(s):  
Robert L. Mason ◽  
Nola D. Tracy ◽  
John C. Young
Keyword(s):  
Control Chart ◽  
Practical Approach ◽  
T2 Control Chart
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