Adaptive Control with Fault Detection
Author | : Tore Hägglund |
Publisher | : |
Total Pages | : 68 |
Release | : 1982 |
Genre | : |
ISBN | : |
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Author | : Tore Hägglund |
Publisher | : |
Total Pages | : 68 |
Release | : 1982 |
Genre | : |
ISBN | : |
Author | : Qikun Shen |
Publisher | : Springer |
Total Pages | : 250 |
Release | : 2017-02-14 |
Genre | : Technology & Engineering |
ISBN | : 3319525301 |
This book provides recent theoretical developments in and practical applications of fault diagnosis and fault tolerant control for complex dynamical systems, including uncertain systems, linear and nonlinear systems. Combining adaptive control technique with other control methodologies, it investigates the problems of fault diagnosis and fault tolerant control for uncertain dynamic systems with or without time delay. As such, the book provides readers a solid understanding of fault diagnosis and fault tolerant control based on adaptive control technology. Given its depth and breadth, it is well suited for undergraduate and graduate courses on linear system theory, nonlinear system theory, fault diagnosis and fault tolerant control techniques. Further, it can be used as a reference source for academic research on fault diagnosis and fault tolerant control, and for postgraduates in the field of control theory and engineering.
Author | : Sotiris Andreas Diakourtis |
Publisher | : |
Total Pages | : 158 |
Release | : 1995 |
Genre | : |
ISBN | : |
Author | : Gang Tao |
Publisher | : Springer Science & Business Media |
Total Pages | : 314 |
Release | : 2013-06-29 |
Genre | : Technology & Engineering |
ISBN | : 1447137582 |
This book shows readers new ways to compensate for disturbances in control systems prolonging the intervals between time-consuming and/or expensive fault diagnosis procedures, keeping them up to date in the increasingly important field of adaptive control.
Author | : Michèle Basseville |
Publisher | : |
Total Pages | : 117 |
Release | : 2000 |
Genre | : |
ISBN | : |
Author | : Gang Tao |
Publisher | : Springer Science & Business Media |
Total Pages | : 324 |
Release | : 2004-04-02 |
Genre | : Science |
ISBN | : 9781852337889 |
This book shows readers new ways to compensate for disturbances in control systems prolonging the intervals between time-consuming and/or expensive fault diagnosis procedures, keeping them up to date in the increasingly important field of adaptive control.
Author | : Fabrizio Caccavale |
Publisher | : Springer |
Total Pages | : 199 |
Release | : 2003-09-05 |
Genre | : Technology & Engineering |
ISBN | : 3540457372 |
This book will play a central role in ensuring safe and reliable behaviour of intelligent and autonomous systems. It collects some of the most recent results in fault diagnosis and fault tolerant systems, with particular emphasis on mechatronic systems.
Author | : M.G. Singh |
Publisher | : Elsevier |
Total Pages | : 335 |
Release | : 2013-10-22 |
Genre | : Technology & Engineering |
ISBN | : 1483286665 |
Provides an up-to-date review of the latest developments in system reliability maintenance, fault detection and fault-tolerant design techniques. Topics covered include reliability analysis and optimization, maintenance control policies, fault detection techniques, fault-tolerant systems, reliable controllers and robustness, knowledge based approaches and decision support systems. There are further applications papers on process control, robotics, manufacturing systems, communications and power systems. Contains 36 papers.
Author | : Gary J. Balas |
Publisher | : |
Total Pages | : 95 |
Release | : 2012 |
Genre | : |
ISBN | : |
Author | : Sara Mae Wilson |
Publisher | : |
Total Pages | : 118 |
Release | : 2020 |
Genre | : |
ISBN | : |
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.