Results 21 to 30 of about 700,470 (265)
Some Monitoring Procedures Related to Asymmetry Parameter of Azzalini’s Skew-Normal Model
Revstat Statistical Journal, 2019 In the real world, we often observe that the underlying distribution of some Gaussian processes tends to become skewed, when some undesirable assignable cause takes place in the process.
Chenglong Li +3 more
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Monitoring of Social Network and Change Detection by Applying Statistical Process: ERGM [PDF]
Journal of Optimization in Industrial Engineering, 2020 The statistical modeling of social network data needs much effort because of the complex dependence structure of the tie variables. In order to formulate such dependences, the statistical exponential families of distributions can provide a flexible ...
Farshid Rajabi +2 more
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High-Speed Monitoring of Multidimensional Processes Using Bayesian Updates
IEEE Access, 2022 The advent of modern data acquisition and computing techniques has enabled high-speed monitoring of high-dimensional processes. The short sampling interval makes the samples temporally correlated, even if there is no underlying autocorrelation among ...
Sangahn Kim +2 more
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IEEE Access, 2022 Process monitoring has played an increasingly significant role in ensuring safe and efficient manufacturing operations in process industries over the past several years.
Muhammad Nawaz +3 more
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On the Efficient Monitoring of Multivariate Processes with Unknown Parameters
Mathematics, 2020 Control charts are commonly used tools that deal with monitoring of process parameters in an efficient manner. Multivariate control charts are more practical and are of greater importance for timely detection of assignable causes in multiple quality ...
Nasir Abbas +4 more
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A bibliometric analysis of 50 years of worldwide research on statistical process control
Gestão & ProduçãoAn increasing number of papers on statistical process control (SPC) has emerged in the last fifty years, especially in the last fifteen years. This may be attributed to the increased global competitiveness generated by innovation and the continuous ...
Fabiane Letícia Lizarelli +4 more
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Application of dynamic multi-manifold projections algorithmin statistical process monitoring
Journal of Hebei University of Science and Technology, 2022 To solve the problem of serial correlation of industrial data and the changes of global and local structure of data in some abnormal states,the [BF]"[BFQ]time lag migration" method was used to incorporate dynamic behavior into the multi-manifold ...
Jinyu GUO, Xia WANG
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Mathematics, 2023 Control charts play a beneficial role in the manufacturing process by reduction of non-compatible products and improving the final quality. In line with these aims, several adaptive methods in which samples can be taken with variable sampling rates and ...
Ali Yeganeh +4 more
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AxiomsMonitoring the ratio of two correlated normal random variables is often used in many industrial manufacturing processes. At the same time, measurement errors inevitably exist in most processes, which have different effects on the performance of various ...
Wei Yang, Xueting Ji, Jiujun Zhang
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AxiomsNowadays, the online comment process of product after-sales has become a key part of product development. Quality problems, such as the failure of products or services, are more likely to exist or hide in negative comments.
Sirui An, Jiujun Zhang
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