Fault Detection In A Continuous Production Line Using Adaptive Control Chart Limits PDF Download
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Author | : Sara Mae Wilson |
Publisher | : |
Total Pages | : 118 |
Release | : 2020 |
Genre | : |
ISBN | : |
Download Fault Detection in a Continuous Production Line Using Adaptive Control Chart Limits Book in PDF, ePub and Kindle
The fourth industrial revolution, known as Industry 4.0, has emerged in the past few decades. With its focus on digitization and interconnectivity between devices, data collection, and operator behavior, implementing Industry 4.0 in a factory gives manufacturers the ability to monitor manufacturing processes in real-time. By monitoring processes in real-time, operators can boost productivity and reduce waste by identifying issues in the manufacturing line faster and more frequently. This research was based on work completed at Industrial ML, a Cambridge-based, machine learning company that offers real-time production and quality monitoring to factories via their platform. The data used is from the manufacturing line of one of IML's clients, Industrial Steel, based in Japan. This thesis presents a comprehensive method for analyzing equipment data from a manufacturing line to determine which process control charts and equations are best-suited for real-time monitoring of the line. By evaluating the performance of X-Bar Charts, regressions, and S Charts in monitoring the various processes on the Industrial Steel manufacturing line, a different monitoring method was created. This method utilizes S Charts with 95th and 99th percentile limits calculated from historical data as upper limits and no lower limits to accommodate the low variance nature of many processes. This method's efficacy was tested by calculating the fraction of points from numerous long periods of continuous production (8 hours or more) that lay within these historical data percentile limits. For the variables analyzed, the percentile limits contained 95-99% of the data points. Some of the data ranges showed a higher variance of the data from the sensors; a set of higher variance limits were set for these ranges. A set of process control rules, adapted from the WECO rules, were established to guide how to determine out of control points on these S Charts with percentile limits.
Author | : Tore Hägglund |
Publisher | : |
Total Pages | : 68 |
Release | : 1982 |
Genre | : |
ISBN | : |
Download Adaptive Control with Fault Detection Book in PDF, ePub and Kindle
Author | : Michèle Basseville |
Publisher | : |
Total Pages | : 568 |
Release | : 1993 |
Genre | : Mathematics |
ISBN | : |
Download Detection of Abrupt Changes Book in PDF, ePub and Kindle
Presents mathematical tools and techniques for solving change detection problems in wide domains like signal processing, controlled systems and monitoring. The book covers a wide class of stochastic processes, including scalar independent observations and multidimensional dependent ARMA.
Author | : |
Publisher | : |
Total Pages | : 1016 |
Release | : 1999 |
Genre | : Aeronautics |
ISBN | : |
Download International Aerospace Abstracts Book in PDF, ePub and Kindle
Author | : L.H. Chiang |
Publisher | : Springer Science & Business Media |
Total Pages | : 281 |
Release | : 2012-12-06 |
Genre | : Technology & Engineering |
ISBN | : 1447103475 |
Download Fault Detection and Diagnosis in Industrial Systems Book in PDF, ePub and Kindle
Early and accurate fault detection and diagnosis for modern chemical plants can minimize downtime, increase the safety of plant operations, and reduce manufacturing costs. This book presents the theoretical background and practical techniques for data-driven process monitoring. It demonstrates the application of all the data-driven process monitoring techniques to the Tennessee Eastman plant simulator, and looks at the strengths and weaknesses of each approach in detail. A plant simulator and problems allow readers to apply process monitoring techniques.
Author | : Keisoku Jidō Seigyo Gakkai (Japan). Gakujutsu Kōenkai |
Publisher | : |
Total Pages | : 1036 |
Release | : 2004 |
Genre | : Adaptive control systems |
ISBN | : |
Download Proceedings of the ... SICE Annual Conference Book in PDF, ePub and Kindle
Author | : Hans-Joachim Lenz |
Publisher | : Springer Science & Business Media |
Total Pages | : 367 |
Release | : 2010-03-10 |
Genre | : Mathematics |
ISBN | : 3790823805 |
Download Frontiers in Statistical Quality Control 9 Book in PDF, ePub and Kindle
The twenty-three papers in this volume are carefully selected, reviewed and revised for this volume, and are divided into two parts: Part 1: "On-line Control" with subchapters 1.1 "Control Charts" and 1.2 "Surveillance Sampling and Sampling Plans" and Part 2:"Off-line Control".
Author | : Steven X. Ding |
Publisher | : Springer Science & Business Media |
Total Pages | : 306 |
Release | : 2014-04-12 |
Genre | : Technology & Engineering |
ISBN | : 1447164105 |
Download Data-driven Design of Fault Diagnosis and Fault-tolerant Control Systems Book in PDF, ePub and Kindle
Data-driven Design of Fault Diagnosis and Fault-tolerant Control Systems presents basic statistical process monitoring, fault diagnosis, and control methods and introduces advanced data-driven schemes for the design of fault diagnosis and fault-tolerant control systems catering to the needs of dynamic industrial processes. With ever increasing demands for reliability, availability and safety in technical processes and assets, process monitoring and fault-tolerance have become important issues surrounding the design of automatic control systems. This text shows the reader how, thanks to the rapid development of information technology, key techniques of data-driven and statistical process monitoring and control can now become widely used in industrial practice to address these issues. To allow for self-contained study and facilitate implementation in real applications, important mathematical and control theoretical knowledge and tools are included in this book. Major schemes are presented in algorithm form and demonstrated on industrial case systems. Data-driven Design of Fault Diagnosis and Fault-tolerant Control Systems will be of interest to process and control engineers, engineering students and researchers with a control engineering background.
Author | : Rolf Isermann |
Publisher | : Springer Science & Business Media |
Total Pages | : 478 |
Release | : 2006-01-16 |
Genre | : Technology & Engineering |
ISBN | : 3540303685 |
Download Fault-Diagnosis Systems Book in PDF, ePub and Kindle
With increasing demands for efficiency and product quality plus progress in the integration of automatic control systems in high-cost mechatronic and safety-critical processes, the field of supervision (or monitoring), fault detection and fault diagnosis plays an important role. The book gives an introduction into advanced methods of fault detection and diagnosis (FDD). After definitions of important terms, it considers the reliability, availability, safety and systems integrity of technical processes. Then fault-detection methods for single signals without models such as limit and trend checking and with harmonic and stochastic models, such as Fourier analysis, correlation and wavelets are treated. This is followed by fault detection with process models using the relationships between signals such as parameter estimation, parity equations, observers and principal component analysis. The treated fault-diagnosis methods include classification methods from Bayes classification to neural networks with decision trees and inference methods from approximate reasoning with fuzzy logic to hybrid fuzzy-neuro systems. Several practical examples for fault detection and diagnosis of DC motor drives, a centrifugal pump, automotive suspension and tire demonstrate applications.
Author | : |
Publisher | : |
Total Pages | : 1020 |
Release | : 1994 |
Genre | : Dissertations, Academic |
ISBN | : |
Download Index to Theses with Abstracts Accepted for Higher Degrees by the Universities of Great Britain and Ireland and the Council for National Academic Awards Book in PDF, ePub and Kindle