Comprehensive review of high-dimensional monitoring methods: trends, insights, and interconnections
High-dimensional data refers to a dataset that contains many variables or features, typically
with many more features p than observations n (ie n< p). With technological advancements …
with many more features p than observations n (ie n< p). With technological advancements …
Integration of hybrid score functions to design new adaptive EWMA control chart to monitor the process mean shift
Small-to-moderate shifts in the process parameters can be detected using the traditional
Exponentially Weighted Moving Average (EWMA) control chart. The classical EWMA control …
Exponentially Weighted Moving Average (EWMA) control chart. The classical EWMA control …
High-dimensional control charts with application to surveillance of grease damage in bearings of wind turbines
High-dimensional data, characterized by having more attributes or variables than
observations, presents unique challenges in industrial operations surveillance. Traditional …
observations, presents unique challenges in industrial operations surveillance. Traditional …
Enhanced dispersion monitoring structures based on modified successive sampling: Application to fertilizer production process
In this era of Industry 4.0, efficient and affordable monitoring solutions are needed for the
surveillance of manufacturing/service operations. In general, memory-type control charts …
surveillance of manufacturing/service operations. In general, memory-type control charts …
Robust Shewhart-CUSUM design for monitoring process mean using repetitive sampling
The present study initiates the use of repetitive sampling (RS) for CUSUM type statistics
discussed by Riaz et al.(2017) and couples it with the Shewhart chart (termed as RS-SEC …
discussed by Riaz et al.(2017) and couples it with the Shewhart chart (termed as RS-SEC …
[HTML][HTML] Generalized linear modelling based monitoring methods for air quality surveillance
T Mahmood - Journal of King Saud University-Science, 2024 - Elsevier
Rising industrial pollution, exacerbated by climate change, underscores the need for
effective environmental monitoring. Leveraging sensor advancements and Birnbaum …
effective environmental monitoring. Leveraging sensor advancements and Birnbaum …
A bivariate CUSUM control chart based on exceedance statistics
In manufacturing systems, statistical process control (SPC) is used to detect unusual
observations in the process. Most control charts are composed based on the normality …
observations in the process. Most control charts are composed based on the normality …
Shewhart-EWMA chart for monitoring binomial data subject to shifts of random amounts
S Haridy, JC Benneyan - Computers & Industrial Engineering, 2024 - Elsevier
Attribute charts are used widely for monitoring binary events in manufacturing, service, and
healthcare processes. While Shewhart type charts are efficacious in detecting large or …
healthcare processes. While Shewhart type charts are efficacious in detecting large or …
Optimal precedence tests under single and double-sampling framework
The precedence test is a nonparametric, two-sample test for stochastic comparison of
lifetime data. The power of the precedence test increases with increasing sample size …
lifetime data. The power of the precedence test increases with increasing sample size …
On moving average based location charts under modified successive sampling
Ceramics are made up of water, clay, and powders. These are categorized as non-metallic
and inorganic materials. It is revealed in the literature that Longquan celadon glaze had …
and inorganic materials. It is revealed in the literature that Longquan celadon glaze had …