An improved process monitoring by mixed multivariate memory control charts: An application in wind turbine field

2021

Sci Rep

The existing F-test for two counts data from the Poisson distribution under classical statistics can be applied only when the counts in the data are exact or not intervals. The existing test cannot be applied when the count data is indeterminate, in the interval, and uncertain. In this paper, the F-test for two counts data from the Poisson distribution under classical statistics is designed. The test for two counts recording at the same time or different times is presented. The daily and the monthly number of records broken data in the U.S from the weather department is selected for the application of the proposed test. The application and comparison studies show the efficiency of the proposed test. The proposed test was found to be informative, flexible, and appropriate to be applied in an uncertain environment.

“…Several authors introduced various statistical models for the wind speed data. References 11 – 20 used various statistical techniques in the area of metrology.…”

Section: Introductionmentioning

confidence: 99%

RETRACTED ARTICLE: Neutrosophic statistical test for counts in climatology

2021

Sci Rep

“…The application of statistical analysis can be seen in 13 . More applications of statistical methods in the field of energy can be seen in 14 – 22 .…”

Section: Introductionmentioning

confidence: 99%

RETRACTED ARTICLE: Forecasting of the wind speed under uncertainty

2020

Sci Rep

In this paper, the semi-average method under neutrosophic statistics is introduced. The trend regression line for the semi-average method is given in the presence of Neutrosophy in the data. The application of the semi-average method under indeterminacy is given with the help of wind speed data. The efficiency of the semi-average method under the neutrosophic statistics is discussed over the semi-average method under classical statistics. From the analysis, it is concluded that the proposed method is effective, informative, and flexible for the forecasting of wind speed.

“…Suman and Prajapati [1] discussed the application in the healthcare department. Zaman et al [2] applied a control chart in the wind turbine field. Hossain et al [3] discussed the application of a control chart for monitoring the glass fiber process.…”

Section: Introductionmentioning

confidence: 99%

Process Monitoring for Gamma Distributed Product under Neutrosophic Statistics Using Resampling Scheme

Almarashi

2021

Journal of Mathematics

In this article, a repetitive sampling control chart for the gamma distribution under the indeterminate environment has been presented. The control chart coefficients, probability of in-control, probability of out-of-control, and average run lengths have been determined under the assumption of the symmetrical property of the normal distribution using the neutrosophic interval method. The performance of the designed chart has been evaluated using the average run length measurements under different process settings for an indeterminate environment. In-control and out-of-control nature of the proposed chart under different levels of shifts have been described. The comparison of the proposed chart has been made with the existing chart. A real-world example from the healthcare department has been included for the practical application of the proposed chart. It has been observed from the simulation study and real example that the proposed control chart is efficient in quick monitoring of the out-of-control process. It can be concluded that the proposed control chart can be applied effectively in uncertainty.