Early fault detection in gearboxes via dynamic principal component analysis-driven multivariate statistical process control. [PDF]
PLoS ONEEarly detection of gearbox failure is essential due to their critical role in industrial operations. Therefore, effective condition monitoring techniques are required to identify incipient deviations in operational behaviour.
Antonio Pérez-Torres +4 more
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Quality-Related Process Monitoring Based on Improved Kernel Principal Component Regression
IEEE Access, 2021 To date, quality-related multivariate statistical methods are extensively used in process monitoring and have achieved admirable effects. However, most of them contain recursive processes, which result in higher time complexity and are not suitable for ...
Li Qi +4 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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Economic and Economic-Statistical Designs of Multivariate Coefficient of Variation Chart
Revstat Statistical Journal, 2022 From the economic perspective, cost minimization is an important part of Statistical Process Control (SPC). The conventional approach in SPC focuses on monitoring the process mean and variance for possible shifts. In some processes, such as clinical and
Wei Chun Ng +3 more
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Statistical monitoring of the covariance matrix in multivariate processes: A literature review [PDF]
Journal of Quality Technology, 2021 Monitoring several correlated quality characteristics of a process is common in modern manufacturing and service industries. Although a lot of attention has been paid to monitoring the multivariate process mean, not many control charts are available for monitoring the covariance matrix.
Mohsen Ebadi +3 more
openaire +2 more sources
Construction Tasks Electronic Process Monitoring: Laboratory Circuit-Based Simulation Deployment
Buildings, 2022 The domain of data processing is essential to accelerate the delivery of information based on electronic performance monitoring (EPM). The classification of the activities conducted by craft workers can enhance the mechanisation and productivity of ...
Diego Calvetti +5 more
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Multi-Scale Process Monitoring Based on Time-Frequency Analysis and Feature Fusion
Frontiers in Chemical Engineering, 2022 Data-driven process monitoring is an important tool to ensure safe production and smooth operation. Generally, implicit information can be mined through data processing and analysis algorithms to detect process disturbances on the basis of historical ...
Cheng Ji +3 more
doaj +1 more source
Phase II monitoring of auto-correlated linear profiles using multivariate linear mixed model [PDF]
International Journal of Industrial Engineering and Production Research, 2021 In the last few decades, profile monitoring in univariate and multivariate environment has drawn a considerable attention in the area of statistical process control.
Rassoul Noorossana, Somayeh Khalili
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A Transfer Learning-Based Multivariate Control Chart for Dengue Surveillance in Hong Kong
IEEE Access, 2023 Dengue is a severe mosquito-borne epidemic disease. There is no effective vaccine for dengue, so a real-time surveillance system becomes crucial to detect dengue outbreaks.
Zezhong Wang, Inez Maria Zwetsloot
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Separations, 2022 An in-line monitoring method for the elution process of Ginkgo biloba L. leaves using visible and near-infrared spectroscopy in conjunction with multivariate statistical process control (MSPC) was established.
Wenlong Li +4 more
doaj +1 more source