2016
DOI: 10.1016/j.conengprac.2015.07.013
|View full text |Cite
|
Sign up to set email alerts
|

Design of experiments and statistical process control using wavelets analysis

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
10
0

Year Published

2016
2016
2021
2021

Publication Types

Select...
7
1

Relationship

2
6

Authors

Journals

citations
Cited by 28 publications
(10 citation statements)
references
References 48 publications
0
10
0
Order By: Relevance
“…We will conduct additional studies of the indicator of self-sufficiency in order to identify the relationship between the data presented in Table 2. For this, we will be using the statistical control methods, namely, the scatter chart proposed by A. Cohen, T. Tiplica, A. Kobi, J. Henn, K. Meindl (Cohen et al, 2016;Henn et al, Meindl, 2015). Correlation study indicators "production" and "import" are presented in Figure 1.…”
Section: Resultsmentioning
confidence: 99%
“…We will conduct additional studies of the indicator of self-sufficiency in order to identify the relationship between the data presented in Table 2. For this, we will be using the statistical control methods, namely, the scatter chart proposed by A. Cohen, T. Tiplica, A. Kobi, J. Henn, K. Meindl (Cohen et al, 2016;Henn et al, Meindl, 2015). Correlation study indicators "production" and "import" are presented in Figure 1.…”
Section: Resultsmentioning
confidence: 99%
“…On the other side, details coefficients have a mean equal to zero. This characteristic could be useful to detect change in variance, because the mean change does not affect the details coefficients, as we have shown in our previous work (Cohen, Tiplica, & Kobi, 2016), in which we proposed DeWave control chart in order to monitor variance change.…”
Section: Wavelets and Detectabilitymentioning
confidence: 89%
“…The design of experiments is a useful tool for assessing the variations of results from experiments and is applicable for simulating the results in different fields . In the present study, we applied a general full factorial method with different numbers of levels in the order of main effect for inhibition efficiency to design the experiments.…”
Section: Methodsmentioning
confidence: 99%