Statistical Process Monitoring from Industry 2.0 to Industry 4.0: Insights into Research and Practice
From MaRDI portal
Publication:6637476
DOI10.1080/00401706.2024.2327341MaRDI QIDQ6637476
Bianca Maria Colosimo, Unnamed Author, William H. Woodall, Kamran Paynabar, L. Allison Jones-Farmer, Chitta Ranjan
Publication date: 13 November 2024
Published in: Technometrics (Search for Journal in Brave)
Cites Work
- Unnamed Item
- LASSO-based multivariate linear profile monitoring
- Statistical Perspectives on “Big Data”
- Statistical Monitoring of Autocorrelated Simple Linear Profiles Based on Principal Components Analysis
- Multivariate Statistical Process Control Using LASSO
- Contributors to a multivariate statistical process control chart signal
- A Multivariate Exponentially Weighted Moving Average Control Chart
- Monitoring Variance Components
- A kernel-distance-based multivariate control chart using support vector methods
- A distribution‐free control chart for monitoring high‐dimensional processes based on interpoint distances
- Statistical Surveillance. Optimality and Methods
- CONTINUOUS INSPECTION SCHEMES
- Statistical method from the view-point of quality control.
- Fault classification for high‐dimensional data streams: A directional diagnostic framework based on multiple hypothesis testing
- Multiple Change Point Detection in Reduced Rank High Dimensional Vector Autoregressive Models
- Homer Sarasohn and American involvement in the evolution of quality management in Japan, 1945--1950
- A Monitoring and Diagnostic Approach for Stochastic Textured Surfaces
- A Nonparametric Adaptive Sampling Strategy for Online Monitoring of Big Data Streams
- Detecting Deviating Data Cells
- Real-Time Monitoring of High-Dimensional Functional Data Streams via Spatio-Temporal Smooth Sparse Decomposition
- Nonparametric Dynamic Curve Monitoring
- Anomaly Detection in Large-Scale Networks With Latent Space Models
- An Adaptive Sampling Strategy for Online Monitoring and Diagnosis of High-Dimensional Streaming Data
- Reliable Post-Signal Fault Diagnosis for Correlated High-Dimensional Data Streams
- Statistical Modeling and Monitoring of Geometrical Deviations in Complex Shapes With Application to Additive Manufacturing
- Analyzing Nonparametric Part-to-Part Variation in Surface Point Cloud Data
- Temporal Characterization and Filtering of Sensor Data to Support Anomaly Detection
- Transparent Sequential Learning for Statistical Process Control of Serially Correlated Data
- Adaptive Partially Observed Sequential Change Detection and Isolation
- Bandit Change-Point Detection for Real-Time Monitoring High-Dimensional Data Under Sampling Control
- An Intrinsic Geometrical Approach for Statistical Process Control of Surface and Manifold Data
- A Diagnostic Procedure for High-Dimensional Data Streams via Missed Discovery Rate Control
- On information quality
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