Results 31 to 40 of about 15,562,972 (297)
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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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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, 2023 Advances in additive manufacturing (AM) processes have increased the number of relevant applications in various industries. To keep up with this development, the process stability of AM processes should be monitored, which is conducted through the ...
Moath Alatefi +3 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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A Novel Dynamic Process Monitoring Algorithm: Dynamic Orthonormal Subspace Analysis
, 2023 Orthonormal subspace analysis (OSA) is proposed for handling the subspace decomposition issue and the principal component selection issue in traditional key performance indicator (KPI)-related process monitoring methods such as partial least squares (PLS)
Shan Lu +5 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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, 2022 Traditional multivariate statistical methods, which are often used to monitor stationary processes, are not applicable to nonstationary processes. Cointegration analysis (CA) is considered an effective method to deal with nonstationary variables.
Jingzhi Rao +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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A Review on Data-Driven Process Monitoring Methods: Characterization and Mining of Industrial Data
, 2022 Safe and stable operation plays an important role in the chemical industry. Fault detection and diagnosis (FDD) make it possible to identify abnormal process deviations early and assist operators in taking proper action against fault propagation.
Wei Sun, Cheng Ji
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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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