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Utilizing Classical Scaling For Fault Identification Based On Continuous Based Process
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Book Synopsis Utilizing Classical Scaling for Fault Identification Based on Continuous-based Process by : Mira Syahirah Abd Wahit
Download or read book Utilizing Classical Scaling for Fault Identification Based on Continuous-based Process written by Mira Syahirah Abd Wahit and published by . This book was released on 2013 with total page 30 pages. Available in PDF, EPUB and Kindle. Book excerpt: This study is about to develop a new method on Fault Identification using Classical Scaling. Process Monitoring is from Statistical Process Control (SPC), the statistical tool which used of statistical methods and to control of a process, by repeated sampling measurements or to predict results. It also help to determine whether the process is working properly or not. This Statistical Process Control (SPC) will forms charts with data (control charts) to shown the result. This study will develop the normal Multivariate Statistical Process Monitoring (MSPM). The data will be run as the normal Multivariate Statistical Process Monitoring (MSPM). So from the technique that used in this study such as Principal Component Analysis, Statistical Process Control and Multivariate Statistical Process Monitoring (MSPM), this study will be develop which the most faster technique that will be detecting the fault in the system used.
Book Synopsis Time Series Analysis by : Chun-Kit Ngan
Download or read book Time Series Analysis written by Chun-Kit Ngan and published by BoD – Books on Demand. This book was released on 2019-11-06 with total page 131 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book aims to provide readers with the current information, developments, and trends in a time series analysis, particularly in time series data patterns, technical methodologies, and real-world applications. This book is divided into three sections and each section includes two chapters. Section 1 discusses analyzing multivariate and fuzzy time series. Section 2 focuses on developing deep neural networks for time series forecasting and classification. Section 3 describes solving real-world domain-specific problems using time series techniques. The concepts and techniques contained in this book cover topics in time series research that will be of interest to students, researchers, practitioners, and professors in time series forecasting and classification, data analytics, machine learning, deep learning, and artificial intelligence.
Book Synopsis Optimal State Estimation for Process Monitoring, Fault Diagnosis and Control by : Ch. Venkateswarlu
Download or read book Optimal State Estimation for Process Monitoring, Fault Diagnosis and Control written by Ch. Venkateswarlu and published by Elsevier. This book was released on 2022-01-31 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: Optimal State Estimation for Process Monitoring, Fault Diagnosis and Control presents various mechanistic model based state estimators and data-driven model based state estimators with a special emphasis on their development and applications to process monitoring, fault diagnosis and control. The design and analysis of different state estimators are highlighted with a number of applications and case studies concerning to various real chemical and biochemical processes. The book starts with the introduction of basic concepts, extending to classical methods and successively leading to advances in this field. Design and implementation of various classical and advanced state estimation methods to solve a wide variety of problems makes this book immensely useful for the audience working in different disciplines in academics, research and industry in areas concerning to process monitoring, fault diagnosis, control and related disciplines. Describes various classical and advanced versions of mechanistic model based state estimation algorithms Describes various data-driven model based state estimation techniques Highlights a number of real applications of mechanistic model based and data-driven model based state estimators/soft sensors Beneficial to those associated with process monitoring, fault diagnosis, online optimization, control and related areas
Book Synopsis Fault Detection, Supervision and Safety of Technical Processes 2006 by : Hong-Yue Zhang
Download or read book Fault Detection, Supervision and Safety of Technical Processes 2006 written by Hong-Yue Zhang and published by Elsevier. This book was released on 2007-03-01 with total page 1576 pages. Available in PDF, EPUB and Kindle. Book excerpt: The safe and reliable operation of technical systems is of great significance for the protection of human life and health, the environment, and of the vested economic value. The correct functioning of those systems has a profound impact also on production cost and product quality. The early detection of faults is critical in avoiding performance degradation and damage to the machinery or human life. Accurate diagnosis then helps to make the right decisions on emergency actions and repairs. Fault detection and diagnosis (FDD) has developed into a major area of research, at the intersection of systems and control engineering, artificial intelligence, applied mathematics and statistics, and such application fields as chemical, electrical, mechanical and aerospace engineering. IFAC has recognized the significance of FDD by launching a triennial symposium series dedicated to the subject. The SAFEPROCESS Symposium is organized every three years since the first symposium held in Baden-Baden in 1991. SAFEPROCESS 2006, the 6th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes was held in Beijing, PR China. The program included three plenary papers, two semi-plenary papers, two industrial talks by internationally recognized experts and 258 regular papers, which have been selected out of a total of 387 regular and invited papers submitted. * Discusses the developments and future challenges in all aspects of fault diagnosis and fault tolerant control * 8 invited and 36 contributed sessions included with a special session on the demonstration of process monitoring and diagnostic software tools
Book Synopsis Advances in Wavelet Theory and Their Applications in Engineering, Physics and Technology by : Dumitru Baleanu
Download or read book Advances in Wavelet Theory and Their Applications in Engineering, Physics and Technology written by Dumitru Baleanu and published by BoD – Books on Demand. This book was released on 2012-04-04 with total page 650 pages. Available in PDF, EPUB and Kindle. Book excerpt: The use of the wavelet transform to analyze the behaviour of the complex systems from various fields started to be widely recognized and applied successfully during the last few decades. In this book some advances in wavelet theory and their applications in engineering, physics and technology are presented. The applications were carefully selected and grouped in five main sections - Signal Processing, Electrical Systems, Fault Diagnosis and Monitoring, Image Processing and Applications in Engineering. One of the key features of this book is that the wavelet concepts have been described from a point of view that is familiar to researchers from various branches of science and engineering. The content of the book is accessible to a large number of readers.
Book Synopsis Fault Detection, Supervision and Safety of Technical Processes 2003 (SAFEPROCESS 2003) by : Marcel Staroswiecki
Download or read book Fault Detection, Supervision and Safety of Technical Processes 2003 (SAFEPROCESS 2003) written by Marcel Staroswiecki and published by Elsevier. This book was released on 2004-02-27 with total page 1210 pages. Available in PDF, EPUB and Kindle. Book excerpt: A three-volume work bringing together papers presented at 'SAFEPROCESS 2003', including four plenary papers on statistical, physical-model-based and logical-model-based approaches to fault detection and diagnosis, as well as 178 regular papers.
Book Synopsis Model-based Health Monitoring of Hybrid Systems by : Danwei Wang
Download or read book Model-based Health Monitoring of Hybrid Systems written by Danwei Wang and published by Springer Science & Business Media. This book was released on 2013-05-23 with total page 306 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book systematically presents a comprehensive framework and effective techniques for in-depth analysis, clear design procedure, and efficient implementation of diagnosis and prognosis algorithms for hybrid systems. It offers an overview of the fundamentals of diagnosis\prognosis and hybrid bond graph modeling. This book also describes hybrid bond graph-based quantitative fault detection, isolation and estimation. Moreover, it also presents strategies to track the system mode and predict the remaining useful life under multiple fault condition. A real world complex hybrid system—a vehicle steering control system—is studied using the developed fault diagnosis methods to show practical significance. Readers of this book will benefit from easy-to-understand fundamentals of bond graph models, concepts of health monitoring, fault diagnosis and failure prognosis, as well as hybrid systems. The reader will gain knowledge of fault detection and isolation in complex systems including those with hybrid nature, and will learn state-of-the-art developments in theory and technologies of fault diagnosis and failure prognosis for complex systems.
Book Synopsis 31st European Symposium on Computer Aided Process Engineering by : Metin Türkay
Download or read book 31st European Symposium on Computer Aided Process Engineering written by Metin Türkay and published by Elsevier. This book was released on 2021-07-22 with total page 2146 pages. Available in PDF, EPUB and Kindle. Book excerpt: The 31st European Symposium on Computer Aided Process Engineering: ESCAPE-31, Volume 50 contains the papers presented at the 31st European Symposium of Computer Aided Process Engineering (ESCAPE) event held in Istanbul, Turkey. It is a valuable resource for chemical engineers, chemical process engineers, researchers in industry and academia, students and consultants in the chemical industries. Presents findings and discussions from the 31st European Symposium of Computer Aided Process Engineering (ESCAPE) event
Book Synopsis Safety Evaluation Based on Identification Approaches Related to Time-Variant and Nonlinear Structures by : Hans G. Natke
Download or read book Safety Evaluation Based on Identification Approaches Related to Time-Variant and Nonlinear Structures written by Hans G. Natke and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: Safety evaluation by definition involves many complex factors and thus covers a wide range of topics. In order to focus the content of the workshop the subject matter was specific to the state of the art and the recent developments in nonlinear and time-variant methods employing identification procedures. Participants in the workshop represented a wide range of expertise. They were se lected in order to cover the state of the art of knowledge in fault-detection and dam age assessment, system identification, signal processing, mathematical and physical modelling and applications of techniques such as fuzzy logic and neural networks. The emphasis was placed on the exploitation and understanding of nonlinearity arising from structural or material faults. Figure 1 indicates the range of topics covered in the workshop. Since no unique or general approach yet exists for treating nonlinearity in the field of safety evaluation, many of the topics presented were problem specific. In order to assist the reader in selecting the material of primary interest a matrix of the topics covered by each participant is shown in Table 1. This table relates the authors to the subject matter, providing a guide through the diverse range of topics presented at the workshop.
Book Synopsis Multivariate Statistical Process Monitoring Using Classical Multidimensional Scaling by : Mohd Yusri Mohd Yunus
Download or read book Multivariate Statistical Process Monitoring Using Classical Multidimensional Scaling written by Mohd Yusri Mohd Yunus and published by . This book was released on 2012 with total page 177 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Chemical Abstracts written by and published by . This book was released on 2002 with total page 2710 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Model-Based Fault Diagnosis Techniques by : Steven X. Ding
Download or read book Model-Based Fault Diagnosis Techniques written by Steven X. Ding and published by Springer Science & Business Media. This book was released on 2012-12-20 with total page 533 pages. Available in PDF, EPUB and Kindle. Book excerpt: Guaranteeing a high system performance over a wide operating range is an important issue surrounding the design of automatic control systems with successively increasing complexity. As a key technology in the search for a solution, advanced fault detection and identification (FDI) is receiving considerable attention. This book introduces basic model-based FDI schemes, advanced analysis and design algorithms, and mathematical and control-theoretic tools. This second edition of Model-Based Fault Diagnosis Techniques contains: • new material on fault isolation and identification and alarm management; • extended and revised treatment of systematic threshold determination for systems with both deterministic unknown inputs and stochastic noises; • addition of the continuously-stirred tank heater as a representative process-industrial benchmark; and • enhanced discussion of residual evaluation which now deals with stochastic processes. Model-based Fault Diagnosis Techniques will interest academic researchers working in fault identification and diagnosis and as a text it is suitable for graduate students in a formal university-based course or as a self-study aid for practising engineers working with automatic control or mechatronic systems from backgrounds as diverse as chemical process and power engineering.
Book Synopsis Handbook of Whale Optimization Algorithm by : Seyedali Mirjalili
Download or read book Handbook of Whale Optimization Algorithm written by Seyedali Mirjalili and published by Elsevier. This book was released on 2023-11-24 with total page 688 pages. Available in PDF, EPUB and Kindle. Book excerpt: Handbook of Whale Optimization Algorithm: Variants, Hybrids, Improvements, and Applications provides the most in-depth look at an emerging meta-heuristic that has been widely used in both science and industry. Whale Optimization Algorithm has been cited more than 5000 times in Google Scholar, thus solving optimization problems using this algorithm requires addressing a number of challenges including multiple objectives, constraints, binary decision variables, large-scale search space, dynamic objective function, and noisy parameters to name a few. This handbook provides readers with in-depth analysis of this algorithm and existing methods in the literature to cope with such challenges. The authors and editors also propose several improvements, variants and hybrids of this algorithm. Several applications are also covered to demonstrate the applicability of methods in this book. Provides in-depth analysis of equations, mathematical models and mechanisms of the Whale Optimization Algorithm Proposes different variants of the Whale Optimization Algorithm to solve binary, multiobjective, noisy, dynamic and combinatorial optimization problems Demonstrates how to design, develop and test different hybrids of Whale Optimization Algorithm Introduces several application areas of the Whale Optimization Algorithm, focusing on sustainability Includes source code from applications and algorithms that is available online
Download or read book Applied Mechanics Reviews written by and published by . This book was released on 1988 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis On-Line Fault Detection and Supervision in the Chemical Process Industries by : P.S. Dhurjati
Download or read book On-Line Fault Detection and Supervision in the Chemical Process Industries written by P.S. Dhurjati and published by Pergamon. This book was released on 1993-04-13 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt: Addresses the application of quality management to the chemical process industry, in about 50 selected papers from an April 1991 symposium in Newark, Delaware. They discuss strategies for the detection and diagnosis of process faults; modeling, validation, and interpretation of process trends; neural networks in process supervision and fault diagnosis; and other aspects. Reproduced from the authors' copies. Annotation copyright by Book News, Inc., Portland, OR
Book Synopsis Data-Driven Design of Fault Diagnosis Systems by : Adel Haghani Abandan Sari
Download or read book Data-Driven Design of Fault Diagnosis Systems written by Adel Haghani Abandan Sari and published by Springer Science & Business. This book was released on 2014-04-22 with total page 149 pages. Available in PDF, EPUB and Kindle. Book excerpt: In many industrial applications early detection and diagnosis of abnormal behavior of the plant is of great importance. During the last decades, the complexity of process plants has been drastically increased, which imposes great challenges in development of model-based monitoring approaches and it sometimes becomes unrealistic for modern large-scale processes. The main objective of Adel Haghani Abandan Sari is to study efficient fault diagnosis techniques for complex industrial systems using process historical data and considering the nonlinear behavior of the process. To this end, different methods are presented to solve the fault diagnosis problem based on the overall behavior of the process and its dynamics. Moreover, a novel technique is proposed for fault isolation and determination of the root-cause of the faults in the system, based on the fault impacts on the process measurements.
Book Synopsis Three Approaches to Data Analysis by : Igor Chikalov
Download or read book Three Approaches to Data Analysis written by Igor Chikalov and published by Springer Science & Business Media. This book was released on 2012-07-28 with total page 209 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this book, the following three approaches to data analysis are presented: - Test Theory, founded by Sergei V. Yablonskii (1924-1998); the first publications appeared in 1955 and 1958, - Rough Sets, founded by Zdzisław I. Pawlak (1926-2006); the first publications appeared in 1981 and 1982, - Logical Analysis of Data, founded by Peter L. Hammer (1936-2006); the first publications appeared in 1986 and 1988. These three approaches have much in common, but researchers active in one of these areas often have a limited knowledge about the results and methods developed in the other two. On the other hand, each of the approaches shows some originality and we believe that the exchange of knowledge can stimulate further development of each of them. This can lead to new theoretical results and real-life applications and, in particular, new results based on combination of these three data analysis approaches can be expected. - Logical Analysis of Data, founded by Peter L. Hammer (1936-2006); the first publications appeared in 1986 and 1988. These three approaches have much in common, but researchers active in one of these areas often have a limited knowledge about the results and methods developed in the other two. On the other hand, each of the approaches shows some originality and we believe that the exchange of knowledge can stimulate further development of each of them. This can lead to new theoretical results and real-life applications and, in particular, new results based on combination of these three data analysis approaches can be expected. These three approaches have much in common, but researchers active in one of these areas often have a limited knowledge about the results and methods developed in the other two. On the other hand, each of the approaches shows some originality and we believe that the exchange of knowledge can stimulate further development of each of them. This can lead to new theoretical results and real-life applications and, in particular, new results based on combination of these three data analysis approaches can be expected.
