Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 10 of 10 for “"statistical process monitoring"”.
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Fault diagnosis in multivariate statistical process monitoring
The application of multivariate statistical process monitoring (MSPM) methods has gained considerable momentum over the last couple of decades, especially in the processing industry for achieving higher throughput at sustainable rates, reducing safety related events and minimizing potential …
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Statistical Monitoring and Modeling for Spatial Processes
Statistical process monitoring and hierarchical Bayesian modeling are two ways to learn more about processes of interest. In this work, we consider two main components: risk-adjusted monitoring and Bayesian hierarchical models for spatial data. Usually, if prior information about a process is …
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Fault detection in multivariate processes : handling autocorrelation, contamination, and small sample sizes in engineered systems.
Multivariate statistical process monitoring is commonly used to detect faults, or unexpected deviations from normal operating behavior, in complex processes. Faults are typically identified by comparing process behavior in real-time to previously observed in-control process behavior. Many existing …
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Streamlining data management in drug product commercialization and manufacturing
… manufacturing, (2) real-time multivariate statistical process monitoring of lyophilization in clinical manufacturing, and (3) integration of development study data through electronic lab notebook software. Based on insights from these case studies, we make specific recommendations for …
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Improvement of cleaning effectiveness through Statistical Process Control in active pharmaceutical ingredient (API) manufacturing
… done to improve the effectiveness of cleaning processes at an active pharmaceutical ingredient (API) manufacturing site that was in the phase of engineering trials and cleaning cycle development. Cleaning cycles executed on the site prior to the project were found to be inconsistent in cleaning …
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A Statistical Approach to Automatic Process Control (regulation schemes)
Automatic process control (APC) techniques have been applied to process variables such as feed rate, temperature, pressure, viscosity, and to product quality variables as well. Conventional practices of engineering control use the potential for step changes to justify an integral term in the …
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Extensions of Weighted Multidimensional Scaling with Statistics for Data Visualization and Process Monitoring
… systems that exhibit intrinsic dynamic behavior. Monitoring such temporally-varying networks to detect anomalous changes has applications in both social and physical sciences. In this work, we simulate data from models that rely on MDS, and we perform an evaluation study of the use of summary …
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Advancing the Utility of Manufacturing Data for Modeling, Monitoring, and Securing Machining Processes
… to realize proactive product design; real-time process monitoring, diagnosis, prognosis, and control; and better product quality characterization. However, a multitude of challenges are arising, with the growing adoption of smart manufacturing, including industrial data characterized by …
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The Design of GLR Control Charts for Process Monitoring
… control charts are investigated for two types of statistical process monitoring (SPC) problems. The first part of this dissertation considers the problem of monitoring a normally distributed process variable when a special cause may produce a time varying linear drift in the mean. The design and …
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Analysis and Evaluation of Social Network Anomaly Detection
… of proposed methods suitable for different monitoring situations, two important issues have yet to be completely addressed in network surveillance literature. First, performance assessments using simulated data to evaluate the statistical performance of a particular method. Second, the study …