A Distribution-free Control Chart for the Joint Monitoring of Location and Scale

2011 ◽  
Vol 28 (3) ◽  
pp. 335-352 ◽  
Author(s):  
A. Mukherjee ◽  
S. Chakraborti
Keyword(s):  
Control Chart ◽  
Distribution Free ◽  
Joint Monitoring

scholarly journals Distribution-free Phase II CUSUM Control Chart for Joint Monitoring of Location and Scale

2014 ◽  
Vol 31 (1) ◽  
pp. 135-151 ◽  
Author(s):  
Shovan Chowdhury ◽  
Amitava Mukherjee ◽  
Subhabrata Chakraborti
Keyword(s):  
Control Chart ◽  
Phase Ii ◽  
Distribution Free ◽  
Cusum Control Chart ◽  
Joint Monitoring

scholarly journals Residual-based maximum MCUSUM control chart for joint monitoring the mean and variability of multivariate autocorrelated processes

2019 ◽  
Vol 7 (1) ◽  
pp. 364-394 ◽  
Author(s):  
Hidayatul Khusna ◽  
Muhammad Mashuri ◽  
Suhartono ◽  
Dedy Dwi Prastyo ◽  
Muhammad Hisyam Lee ◽  
...  
Keyword(s):  
Control Chart ◽  
Autocorrelated Processes ◽  
Joint Monitoring ◽  
The Mean

Diagnosing Problems of Distribution-Free Multivariate Control Chart

2014 ◽  
Vol 971-973 ◽  
pp. 1602-1606
Author(s):  
Wen Li Shi ◽  
Xue Min Zi
Keyword(s):  
Control Chart ◽  
Historical Data ◽  
Important Application ◽  
Distribution Free ◽  
On Line ◽  
Multivariate Control Chart ◽  
Diagnostic Framework ◽  
Multivariate Control ◽  
Control Limits ◽  
New Distribution

In order to solve the problem of only have a few historical data that can be used in multivariate process monitoring, a new distribution-free multivariate control chart has been proposed. And in the control chart structure the control limits are determined on-line with the future observations and the historical data. Therefore, the proposed control chart has very important application in practice. However, the research doesn’t study the problem of the fault diagnosis after the control chart alarms. So we use LASSO-based diagnostic framework to identify when a detected shift has occurred and to isolate the shifted components.

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