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Showing 1 to 11 of 11 for “"Profile Monitoring"”.
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Profile Monitoring for Mixed Model Data
… limits are sufficiently accurate for Phase II monitoring. High breakdown estimation methods based on the minimum volume ellipsoid (MVE) or the minimum covariance determinant (MCD) are well suited to detecting multivariate outliers in data. Because of the inherent difficulties in computation …
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Cluster_Based Profile Monitoring in Phase I Analysis
Profile monitoring is a well-known approach used in statistical process control where the quality of the product or process is characterized by a profile or a relationship between a response variable and one or more explanatory variables. Profile monitoring is conducted over two phases, labeled as …
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Contributions to Profile Monitoring and Multivariate Statistical Process Control
… is divided into two main topics: 1) nonlinear profile monitoring and 2) an improved approximate distribution for the T² statistic based on the successive differences covariance matrix estimator. Part 1: Nonlinear Profile Monitoring In an increasing number of cases the quality of a product or …
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Profile Monitoring with Fixed and Random Effects using Nonparametric and Semiparametric Methods
Profile monitoring is a relatively new approach in quality control best used where the process data follow a profile (or curve) at each time period. The essential idea for profile monitoring is to model the profile via some parametric, nonparametric, and semiparametric methods and then monitor the …
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An optimization of on-line monitoring of simple linear and polynomial quality functions
… of some of Phase II linear and polynomial profile monitoring techniques.</p> <p>For linear profiles the idea of variable sampling size (VSS) and variable</p> <p>sampling interval (VSI) have been extended from multivariate control charts to the profile monitoring framework to enhance the …
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Design, Implementation and Use of In-Process Sensor Data for Monitoring Broaching and Turning Processes: A Multi - Sensor Approach
Real-time quality monitoring continues to gain interest within the manufacturing domain as new and faster sensors are being developed. Unfortunately, most quality monitoring solutions are still based on collecting data from the end product. From a process improvement point of view, it is definitely …
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New control charts for monitoring univariate autocorrelated processes and high-dimensional profiles
… shifts in the mean of a high-dimensional profile with noisy components that may exhibit nonnormality, variance heterogeneity, or correlation between profile components. A profile describes the relationship between a selected quality characteristic and an input (design) variable over the …
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Statistical Methods for Non-Linear Profile Monitoring
… increased interest and extensive research in the monitoring of a process over time whose characteristics are represented mathematically in functional forms such as profiles. Most of the current techniques require all of the data for each profile to determine the state of the process. Thus, quality …
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The Use of Image and Point Cloud Data in Statistical Process Control
The volume of data acquired in production systems continues to expand. Emerging imaging technologies, such as machine vision systems (MVSs) and 3D surface scanners, diversify the types of data being collected, further pushing data collection beyond discrete dimensional data. These large and diverse …
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Monitoring and Prognostics for Broaching Processes by Integrating Process Knowledge
… of high volume data are available for process monitoring and prognostics in manufacturing systems. In a broaching process, a multi-toothed broaching tool removes material from the workpiece by sequential engagement and disengagement of multiple cutting edges. The quality of the final part, …