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Author | : A.D. Pouliezos |
Publisher | : Springer Science & Business Media |
Total Pages | : 571 |
Release | : 2013-03-09 |
Genre | : Technology & Engineering |
ISBN | : 9401583005 |
Download Real Time Fault Monitoring of Industrial Processes Book in PDF, ePub and Kindle
This book presents a detailed and up-to-date exposition of fault monitoring methods in industrial processes and structures. The following approaches are explained in considerable detail: Model-based methods (simple tests, analytical redundancy, parameter estimation); knowledge-based methods; artificial neural network methods; and nondestructive testing, etc. Each approach is complemented by specific case studies from various industrial sectors (aerospace, chemical, nuclear, etc.), thus bridging theory and practice. This volume will be a valuable tool in the hands of professional and academic engineers. It can also be recommended as a supplementary postgraduate textbook. For scientists whose work involves automatic process control and supervision, statistical process control, applied statistics, quality control, computer-assisted predictive maintenance and plant monitoring, and structural reliability and safety.
Author | : Anastasios Pouliezos |
Publisher | : Springer |
Total Pages | : 542 |
Release | : 2012-12-22 |
Genre | : Technology & Engineering |
ISBN | : 9789401583015 |
Download Real Time Fault Monitoring of Industrial Processes Book in PDF, ePub and Kindle
Author | : Zhiwen Chen |
Publisher | : Springer |
Total Pages | : 124 |
Release | : 2017-01-02 |
Genre | : Technology & Engineering |
ISBN | : 3658167564 |
Download Data-Driven Fault Detection for Industrial Processes Book in PDF, ePub and Kindle
Zhiwen Chen aims to develop advanced fault detection (FD) methods for the monitoring of industrial processes. With the ever increasing demands on reliability and safety in industrial processes, fault detection has become an important issue. Although the model-based fault detection theory has been well studied in the past decades, its applications are limited to large-scale industrial processes because it is difficult to build accurate models. Furthermore, motivated by the limitations of existing data-driven FD methods, novel canonical correlation analysis (CCA) and projection-based methods are proposed from the perspectives of process input and output data, less engineering effort and wide application scope. For performance evaluation of FD methods, a new index is also developed.
Author | : Jing Wang |
Publisher | : Springer Nature |
Total Pages | : 277 |
Release | : 2022-01-03 |
Genre | : Technology & Engineering |
ISBN | : 9811680442 |
Download Data-Driven Fault Detection and Reasoning for Industrial Monitoring Book in PDF, ePub and Kindle
This open access book assesses the potential of data-driven methods in industrial process monitoring engineering. The process modeling, fault detection, classification, isolation, and reasoning are studied in detail. These methods can be used to improve the safety and reliability of industrial processes. Fault diagnosis, including fault detection and reasoning, has attracted engineers and scientists from various fields such as control, machinery, mathematics, and automation engineering. Combining the diagnosis algorithms and application cases, this book establishes a basic framework for this topic and implements various statistical analysis methods for process monitoring. This book is intended for senior undergraduate and graduate students who are interested in fault diagnosis technology, researchers investigating automation and industrial security, professional practitioners and engineers working on engineering modeling and data processing applications. This is an open access book.
Author | : Luigi Fortuna |
Publisher | : Springer Science & Business Media |
Total Pages | : 284 |
Release | : 2007-05-31 |
Genre | : Technology & Engineering |
ISBN | : 1846284805 |
Download Soft Sensors for Monitoring and Control of Industrial Processes Book in PDF, ePub and Kindle
This book reviews current design paths for soft sensors, and guides readers in evaluating different choices. The book presents case studies resulting from collaborations between the authors and industrial partners. The solutions presented, some of which are implemented on-line in industrial plants, are designed to cope with a wide range of applications from measuring system backup and what-if analysis through real-time prediction for plant control to sensor diagnosis and validation.
Author | : S.G. Tzafestas |
Publisher | : Springer Science & Business Media |
Total Pages | : 538 |
Release | : 1990-08-31 |
Genre | : Computers |
ISBN | : 9780792307792 |
Download Real Time Microcomputer Control of Industrial Processes Book in PDF, ePub and Kindle
The introduction of the microprocessor in computer and system engineering has motivated the development of many new concepts and has simplified the design of many modern industrial systems. During the first decade of their life. microprocessors have shown a tremendous evolution in all possible directions (technology. power. functionality. I/O handling. etc). Of course putting the microprocessors and their environmental devices into properly operating systems is a complex and difficult task requiring high skills for melding and integrating hardware. and systemic components. software This book was motivated by the editors' feeling that a cohesive reference is needed providing a good coverage of modern industrial applications of microprocessor-based real time control, together with latest advanced methodological issues. Unavoidably a single volume cannot be exhaustive. but the present book contains a sufficient number of important real-time applications. The book is divided in two sections. Section I deals with general hardware. software and systemic topics. and involves six chapters. Chapter 1. by Gupta and Toong. presents an overview of the development of microprocessors during their first twelve years of existence. Chapter 2. by Dasgupta. deals with a number of system software concepts for real time microprocessor-based systems (task scheduling. memory management. input-output aspects. programming language reqUirements.
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 | : 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 | : A. Starr |
Publisher | : Elsevier |
Total Pages | : 1021 |
Release | : 2001-09-14 |
Genre | : Technology & Engineering |
ISBN | : 0080550789 |
Download Condition Monitoring and Diagnostic Engineering Management Book in PDF, ePub and Kindle
This Proceedings contains the papers presented at the 14th International Conference on Condition Monitoring and Diagnostic Engineering Management (COMADEM 2001), held in Manchester, UK, on 4-6 September 2001. COMADEM 2001 builds on the excellent reputation of previous conferences in this series, and is essential for anyone working in the field of condition monitoring and maintenance management. The scope of the conference is truly interdisciplinary. The Proceedings contains papers from six continents, written by experts in industry and academia the world over, bringing together the latest thoughts on topics including: Condition-based maintenance Reliability centred maintenance Asset management Industrial case studies Fault detection and diagnosis Prognostics Non-destructive evaluation Integrated diagnostics Vibration Oil and debris analysis Tribology Thermal techniques Risk assessment Structural health monitoring Sensor technology Advanced signal processing Neural networks Multivariate statistics Data compression and fusion This Proceedings also contains a wealth of industrial case studies, and the latest developments in education, training and certification. For more information on COMADEM's aims and scope, please visit http://www.comadem.com
Author | : Janos Gertler |
Publisher | : CRC Press |
Total Pages | : 504 |
Release | : 2017-11-22 |
Genre | : Technology & Engineering |
ISBN | : 135144879X |
Download Fault Detection and Diagnosis in Engineering Systems Book in PDF, ePub and Kindle
Featuring a model-based approach to fault detection and diagnosis in engineering systems, this book contains up-to-date, practical information on preventing product deterioration, performance degradation and major machinery damage.;College or university bookstores may order five or more copies at a special student price. Price is available upon request.