Keats

Statistical Process Control in Automated Manufacturing (eBook, ePUB)

• Format: ePub

Produktbeschreibung

This book provides an introduction to statistical process control in automated manufacturing and suggests implementation strategies. It focuses on time series applications in statistical process control and explores the role of knowledge-based systems in process control.

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Produktdetails

• Verlag: Taylor & Francis eBooks
• Seitenzahl: 312
• Erscheinungstermin: 25. November 2020
• Englisch
• ISBN-13: 9781000147155
• Artikelnr.: 60575888

Autorenporträt

Bert Keats

Inhaltsangabe

1. Introduction Section I: Key Issues and Implementation Strategies 2.
Process Control in Automated Manufacturing: Some Key 3. Implementation
Strategies for On-Line Statistical Process Control Systems Section II: Time
Series Applications in Statistical Process Control 4. Times Series Modeling
for Statistical Process Control 5. Statistical Process Control in a
Computer-Integrated Manufacturing Environment 6. The Relationship Between
Certain Kalman Filter Models and Exponential Smoothing Models 7. An
Application of Adaptive Kalman Filtering to Statistical Process Control 8.
A Multivariate and Stochastic Framework for Statistical Process Control
Section III: Innovative Techniques for Statistical Process Control 9.
Generalized Control Charting Section IV: Statistical Databases for Process
Control 10. Statistical Databases for Automated Manufacturing Section V:
Knowledge-Based Systems in Process Control 11. An Expert System Tool for
Real-Time Control 12. Sensor Fusion Section VI: Real-Time Machine Tool
Control 13. A Real-Time Control System for a CNC Machine Tool Based on
Deterministic Metrology