Dynamic Modeling Of Complex Industrial Processes Data Driven Methods And Application Research
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Dynamic Modeling Of Complex Industrial Processes Data Driven Methods And Application Research
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Author : Chao Shang
language : en
Publisher: Springer
Release Date : 2018-02-22
Dynamic Modeling Of Complex Industrial Processes Data Driven Methods And Application Research written by Chao Shang and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-02-22 with Technology & Engineering categories.
This thesis develops a systematic, data-based dynamic modeling framework for industrial processes in keeping with the slowness principle. Using said framework as a point of departure, it then proposes novel strategies for dealing with control monitoring and quality prediction problems in industrial production contexts. The thesis reveals the slowly varying nature of industrial production processes under feedback control, and integrates it with process data analytics to offer powerful prior knowledge that gives rise to statistical methods tailored to industrial data. It addresses several issues of immediate interest in industrial practice, including process monitoring, control performance assessment and diagnosis, monitoring system design, and product quality prediction. In particular, it proposes a holistic and pragmatic design framework for industrial monitoring systems, which delivers effective elimination of false alarms, as well as intelligent self-running by fully utilizing the information underlying the data. One of the strengths of this thesis is its integration of insights from statistics, machine learning, control theory and engineering to provide a new scheme for industrial process modeling in the era of big data.
8th International Conference On Computing Control And Industrial Engineering Ccie2024
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Author : Yuriy S. Shmaliy
language : en
Publisher: Springer Nature
Release Date : 2024-09-21
8th International Conference On Computing Control And Industrial Engineering Ccie2024 written by Yuriy S. Shmaliy and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-21 with Technology & Engineering categories.
This book collects selected aspects of recent advances and experiences, emerging technology trends that have positively impacted our world from operators, authorities, and associations from CCIE 2024, to help address the world’s advanced computing, control technology, information technology, artificial intelligence, machine learning, deep learning, and neural networks. Meanwhile, the topics included in the proceedings have high research value and present current insights, developments, and trends in computing, control, and industrial engineering.
Data Driven Fault Diagnosis For Complex Industrial Processes
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Author : Hongpeng Yin
language : en
Publisher: Springer Nature
Release Date : 2025-05-17
Data Driven Fault Diagnosis For Complex Industrial Processes written by Hongpeng Yin and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-17 with Technology & Engineering categories.
This book summarizes techniques of fault prediction, detection, and identification, all included specifically in the data-driven fault diagnosis requirements within industrial processes, drawing from the combination of data science, machine learning, and domain-specific expertise. In the modern industrial processes, where efficiency, productivity, and safety stand as paramount pillars, the pursuit of fault diagnosis has become more crucial than ever. The widespread use of computer systems, along with new sensor hardware, generates significant quantities of real-time process data. It has been frequently asked what could be done with both the real-time and archived historical data, to not only promising efficiency but providing prospect of a brighter, more resilient future. This book starts with the definition, related work, and open test-bed for industrial process fault diagnosis. Then, it presents several data-driven methods on fault prediction, fault detection, and fault diagnosis, with consideration of properties of industrial processes, such as varying operation modes, non-Gaussian, nonlinearity. It distills cutting-edge methodologies and insights which may inspire for industrial practitioners, researchers, and academicians alike.
Artificial Neural Networks And Machine Learning Icann 2020
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Author : Igor Farkaš
language : en
Publisher: Springer Nature
Release Date : 2020-10-17
Artificial Neural Networks And Machine Learning Icann 2020 written by Igor Farkaš and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-17 with Computers categories.
The proceedings set LNCS 12396 and 12397 constitute the proceedings of the 29th International Conference on Artificial Neural Networks, ICANN 2020, held in Bratislava, Slovakia, in September 2020.* The total of 139 full papers presented in these proceedings was carefully reviewed and selected from 249 submissions. They were organized in 2 volumes focusing on topics such as adversarial machine learning, bioinformatics and biosignal analysis, cognitive models, neural network theory and information theoretic learning, and robotics and neural models of perception and action. *The conference was postponed to 2021 due to the COVID-19 pandemic.
Intelligent Production And Industry 5 0 With Human Touch Resilience And Circular Economy
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Author : Dušan N. Šormaz
language : en
Publisher: Springer Nature
Release Date : 2025-06-18
Intelligent Production And Industry 5 0 With Human Touch Resilience And Circular Economy written by Dušan N. Šormaz and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-18 with Technology & Engineering categories.
This volume contains the papers presented at the 12th International Conference on Production Research – Americas, ICPR Americas 2024. The focus and theme of the conference was Intelligent Production and Industry 5.0 with Human touch, Resilience, and Circular Economy. The conference had the majority of authors from the Western Hemisphere, thus providing readers with the current research topics and results in that region towards establishing Industry 5.0 and resilient, intelligent production methods in the theory and practice of production research. As such, the volume establishes direction for the further advancement of circular economy and human advancement. What areas are covered? The book covers the broad area of production research, including the following topics: Intelligent Production for Circular Economy, Smart Factories and Industrial Internet of Things, Sustainable Manufacturing and Engineering, Modelling and Simulation of Manufacturing and Services, Strategies and Approaches to Develop Production Resilience, Digital and Cyber Manufacturing and Services for Industry 4.0 & 5.0, Data Analytics and Smart Manufacturing, Manufacturing Systems and Supply Chains, Human Factors Engineering, and many others shown inside the book. What is the main focus? The presented papers cover new theories in production research, with emphasis on digital and smart manufacturing, lean and agile manufacturing, and sustainable manufacturing and engineering. However, as the ICPR conferences also cover applications of developed theories in industry, it is expected that about 1/3 of papers will have application focus. Who will be interested in reading? The book aims to get the attention of graduate students and early researchers eager to learn new methodologies and theories of production research as its primary audience. However, advanced undergraduate students may also be tempted to learn the topics of the conference as a potential medium in their choices of careers, particularly when considering graduate degrees. This is the first edition of the book, but it also continues the tradition of proceedings from previous ICPR global and regional conferences.
Process Monitoring And Fault Diagnosis Based On Multivariable Statistical Analysis
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Author : Xiangyu Kong
language : en
Publisher: Springer Nature
Release Date : 2024-03-12
Process Monitoring And Fault Diagnosis Based On Multivariable Statistical Analysis written by Xiangyu Kong and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-12 with Mathematics categories.
This book reports the developments of the Total Least Square (TLS) algorithms for parameter estimation and adaptive filtering. Specifically, this book introduces the authors’ latest achievements in the past 20 years, including the recursive TLS algorithms, the approximate inverse power iteration TLS algorithm, the neural based MCA algorithm, the neural based SVD algorithm, the neural based TLS algorithm, the TLS algorithms under non-Gaussian noises, performance analysis methods of TLS algorithms, etc. In order to faster the understanding and mastering of the new methods provided by this book for readers, before presenting each new method in each chapter, a specialized section is provided to review the closely related several basis models. Throughout the book, large of procedure of new methods are provided, and all new algorithms or methods proposed by us are tested and verified by numerical simulations or actual engineering applications. Readers will find illustrative demonstration examples on a range of industrial processes to study. Readers will find out the present deficiency and recent developments of the TLS parameter estimation fields, and learn from the the authors’ latest achievements or new methods around the practical industrial needs. In my opinion, this book can be assimilated by advanced undergraduates and graduate (PH.D.) students, as well as statisticians, because of the new tools in data analysis, applied mathematics experts, because of the novel theories and techniques that we propose, engineers, above all for the applications in control, system identification, computer vision, and signal processing.
Data Driven Scheduling Of Semiconductor Manufacturing Systems
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Author : Li Li
language : en
Publisher: Springer Nature
Release Date : 2023-05-20
Data Driven Scheduling Of Semiconductor Manufacturing Systems written by Li Li and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-05-20 with Technology & Engineering categories.
This book systematically discusses the intelligent scheduling problem of complex semiconductor manufacturing systems from theory to method and then to application. The main contents include data-driven scheduling framework of semiconductor manufacturing system, data preprocessing of semiconductor manufacturing system, correlation analysis of performance index of semiconductor production line, intelligent release control strategy, dynamic dispatching rules simulating pheromone mechanism, and load balancing dynamic scheduling of semiconductor production line, performance index-driven dynamic scheduling method of semiconductor production line, scheduling trend of semi-conductor manufacturing system in big data environment. This book aims to provide readers with valuable reference and assistance in the theoretical methods, techniques, and application cases of semiconductor manufacturing systems and their intelligent scheduling.
Methods To Assess And Manage Process Safety In Digitalized Process System
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Author : Faisal Khan
language : en
Publisher: Academic Press
Release Date : 2022-07-06
Methods To Assess And Manage Process Safety In Digitalized Process System written by Faisal Khan and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-07-06 with Technology & Engineering categories.
Methods to Assess and Manage Process Safety in Digitalized Process System, Volume Six, the latest release in the Methods in Chemical Process Safety series, highlights new advances in the field, with this new volume presenting interesting chapters written by an international board of authors. - Provides the authority and expertise of leading contributors from an international board of authors - Presents the latest release in the Methods in Chemical Process Safety series - Provides the authority and expertise of leading contributors from an international board of authors
14th International Symposium On Process Systems Engineering
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Author : Yoshiyuki Yamashita
language : en
Publisher: Elsevier
Release Date : 2022-06-24
14th International Symposium On Process Systems Engineering written by Yoshiyuki Yamashita and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-24 with Technology & Engineering categories.
14th International Symposium on Process Systems Engineering, Volume 49 brings together the international community of researchers and engineers interested in computing-based methods in process engineering. The conference highlights the contributions of the PSE community towards the sustainability of modern society and is based on the 2021 event held in Tokyo, Japan, July 1-23, 2021. It contains contributions from academia and industry, establishing the core products of PSE, defining the new and changing scope of our results, and covering future challenges. Plenary and keynote lectures discuss real-world challenges (globalization, energy, environment and health) and contribute to discussions on the widening scope of PSE versus the consolidation of the core topics of PSE. - Highlights how the Process Systems Engineering community contributes to the sustainability of modern society - Establishes the core products of Process Systems Engineering - Defines the future challenges of Process Systems Engineering
Data Driven And Model Based Methods For Fault Detection And Diagnosis
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Author : Majdi Mansouri
language : en
Publisher: Elsevier
Release Date : 2020-02-05
Data Driven And Model Based Methods For Fault Detection And Diagnosis written by Majdi Mansouri and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-02-05 with Technology & Engineering categories.
Data-Driven and Model-Based Methods for Fault Detection and Diagnosis covers techniques that improve the quality of fault detection and enhance monitoring through chemical and environmental processes. The book provides both the theoretical framework and technical solutions. It starts with a review of relevant literature, proceeds with a detailed description of developed methodologies, and then discusses the results of developed methodologies, and ends with major conclusions reached from the analysis of simulation and experimental studies. The book is an indispensable resource for researchers in academia and industry and practitioners working in chemical and environmental engineering to do their work safely. - Outlines latent variable based hypothesis testing fault detection techniques to enhance monitoring processes represented by linear or nonlinear input-space models (such as PCA) or input-output models (such as PLS) - Explains multiscale latent variable based hypothesis testing fault detection techniques using multiscale representation to help deal with uncertainty in the data and minimize its effect on fault detection - Includes interval PCA (IPCA) and interval PLS (IPLS) fault detection methods to enhance the quality of fault detection - Provides model-based detection techniques for the improvement of monitoring processes using state estimation-based fault detection approaches - Demonstrates the effectiveness of the proposed strategies by conducting simulation and experimental studies on synthetic data