2020
DOI: 10.1016/j.aeue.2020.153070
|View full text |Cite
|
Sign up to set email alerts
|

Taguchi DoE and ANOVA: A systematic perspective for performance optimization of cross-coupled channel length modulation OTA

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
5
0
1

Year Published

2020
2020
2024
2024

Publication Types

Select...
9
1

Relationship

0
10

Authors

Journals

citations
Cited by 24 publications
(6 citation statements)
references
References 21 publications
0
5
0
1
Order By: Relevance
“…Taguchi DOE and ANOVA are useful statistical tools to facilitate the systematic approach in determining the optimized factors or independent variables for optimum performance of the system; thus, many engineering problems have been solved using this method (Kumar et al, 2020; Sahu et al, 2019). The ANOVA results confirmed the ranking made on the basis of the amplitude of S/N ratio variation.…”
Section: Resultsmentioning
confidence: 99%
“…Taguchi DOE and ANOVA are useful statistical tools to facilitate the systematic approach in determining the optimized factors or independent variables for optimum performance of the system; thus, many engineering problems have been solved using this method (Kumar et al, 2020; Sahu et al, 2019). The ANOVA results confirmed the ranking made on the basis of the amplitude of S/N ratio variation.…”
Section: Resultsmentioning
confidence: 99%
“…Taguchi method thus suggests a special design of orthogonal arrays to study the effect of process parameters using a small number of experiments [36]. For instance, if the given problem has 4 independent variables and 4 levels for each, the conventional design requires 256 experiments to find out the optimum setting portfolio, while Taguchi DoE requires only 16 experiments [37]. Thus, the Taguchi method is a powerful approach to improve experimental efficiency and has been used in various industries for designing products that combine reduced cost with enhanced quality [38].…”
Section: Grey Taguchi Methodsmentioning
confidence: 99%
“…Based on the P value generated from this analysis, it can be concluded which control factor affects the output parameter most. Output parameters strongly depend on the control factors with the lowest P value [14]. Anova analysis results of emission parameters are given in Table 10.…”
Section: Anova Analysismentioning
confidence: 99%