Automation In The Virtual Testing Of Mechanical Systems
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| Author | : Ole Ivar Sivertsen |
| Publisher | : CRC Press |
| Total Pages | : 202 |
| Release | : 2018-07-17 |
| Genre | : Technology & Engineering |
| ISBN | : 0429879075 |
Automation in the Virtual Testing of Mechanical Systems: Theories and Implementation Techniques provides a practical understanding of Knowledge-Based Engineering (KBE), an approach that is driving automation in engineering. Companies are using the technology to automate engineering tasks, achieving gains in output, and saving time. This book will be the main source of information available for implementing KBE systems, integrating KBE with the finite element methods, and showing how KBE is used to automate engineering and analysis of mechanical systems. The process of combining KBE with optimization techniques is explored, and the use of software tools is presented in some detail. Features Introduces automation with Knowledge-Based Engineering (KBE) in generic mechanical design Develops a framework for generic mechanism modeling including a library format Explores a KBE environment for generic design automation Includes design cases in KBE Gives a presentation of the interwoven technologies used in modern design environments
| Author | : Ole Ivar Sivertsen |
| Publisher | : CRC Press |
| Total Pages | : 208 |
| Release | : 2018 |
| Genre | : Machinery |
| ISBN | : 9781138032590 |
Automation in the Virtual Testing of Mechanical Systems: Theories and Implementation Techniques provides a practical understanding of Knowledge-Based Engineering (KBE), an approach that is driving automation in engineering. Companies are using the technology to automate engineering tasks, achieving gains in output, and saving time. This book will be the main source of information available for implementing KBE systems, integrating KBE with the finite element methods, and showing how KBE is used to automate engineering and analysis of mechanical systems. The process of combining KBE with optimization techniques is explored, and the use of software tools is presented in detail.
| Author | : Radek Silhavy |
| Publisher | : Springer |
| Total Pages | : 382 |
| Release | : 2019-05-09 |
| Genre | : Technology & Engineering |
| ISBN | : 3030198138 |
This book discusses novel intelligent-system algorithms and methods in cybernetics, presenting new approaches in the field of cybernetics and automation control theory. It constitutes the proceedings of the Cybernetics and Automation Control Theory Methods in Intelligent Algorithms Section of the 8th Computer Science On-line Conference 2019 (CSOC 2019), held on-line in April 2019.
| Author | : |
| Publisher | : DEStech Publications, Inc |
| Total Pages | : 492 |
| Release | : 2014-02-13 |
| Genre | : Technology & Engineering |
| ISBN | : 1605951552 |
The ICMEA2014 will provide an excellent international academic forum for sharing knowledge and results in theory, methodology and applications of Mechanical Engineering and Automation. The ICMEA2014 is organized by Advanced Information Science Research Center (AISRC) and is co-sponsored by Chongqing University, Changsha University of Science & Technology, Huazong University of Science and Technology and China Three Gorges University. This ICMEA2014 proceedings tends to collect the up-to-date, comprehensive and worldwide state-of-art knowledge on mechanical engineering and automation, including control theory and application, mechanic manufacturing system and automation, and Computer Science and applications. All of accepted papers were subjected to strict peer-reviewing by 2-4 expert referees. The papers have been selected for this volume because of quality and the relevance to the conference. We hope this book will not only provide the readers a broad overview of the latest research results, but also provide the readers a valuable summary and reference in these fields. ICMEA2014 organizing committee would like to express our sincere appreciations to all authors for their contributions to this book. We would like to extend our thanks to all the referees for their constructive comments on all papers; especially, we would like to thank to organizing committee for their hard working.
| Author | : Nguyen Thanh Hai |
| Publisher | : Springer Nature |
| Total Pages | : 827 |
| Release | : |
| Genre | : |
| ISBN | : 3031601548 |
| Author | : Andrea Leitner |
| Publisher | : Springer Nature |
| Total Pages | : 313 |
| Release | : 2019-11-10 |
| Genre | : Technology & Engineering |
| ISBN | : 3030146286 |
The book summarizes the main results of the the project ENABLE-S3 covering the following aspects: validation and verification technology bricks (collection and selection of test scenarios, test executions envionments incl. respective models, assessment of test results), evaluation of technology bricks in selected use cases and standardization and related initiatives. ENABLE-S3 is an industry-driven EU-project and aspires to substitute todays' cost-intensive verification and validation efforts by more advanced and efficient methods. In addition, the book includes articles about complementary international activities in order to highlight the global importance of the topic and to cover the wide range of aspects that needs to be covered at a global scale.
| Author | : Isak Karabegović |
| Publisher | : Springer Nature |
| Total Pages | : 1151 |
| Release | : 2022-05-25 |
| Genre | : Technology & Engineering |
| ISBN | : 3031052307 |
This book features papers focusing on the implementation of new and future technologies, which were presented at the International Conference on New Technologies, Development and Application, held at the Academy of Science and Arts of Bosnia and Herzegovina in Sarajevo on 23rd–25th June 2022. It covers a wide range of future technologies and technical disciplines, including complex systems such as industry 4.0; patents in industry 4.0; robotics; mechatronics systems; automation; manufacturing; cyber-physical and autonomous systems; sensors; networks; control, energy, renewable energy sources; automotive and biological systems; vehicular networking and connected vehicles; intelligent transport, effectiveness and logistics systems, smart grids, nonlinear systems, power, social and economic systems, education, IoT. The book New Technologies, Development and Application V is oriented towards Fourth Industrial Revolution “Industry 4.0”, in which implementation will improve many aspects of human life in all segments and lead to changes in business paradigms and production models. Further, new business methods are emerging, transforming production systems, transport, delivery and consumption, which need to be monitored and implemented by every company involved in the global market.
| Author | : Ryszard Jabloński |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 742 |
| Release | : 2011-09-25 |
| Genre | : Technology & Engineering |
| ISBN | : 3642232442 |
The book “Mechatronics: Recent Technological and Scientific Advances” provides comprehensive and accessible coverage of the evolving disciplines of mechatronics for nanotechnology, automatic control & robotics, biomedical engineering, design manufacturing and testing of MEMS, metrology, photonics, mechatronic products majors. It is already the third volume following the previous editions in 2007 and 2009 providing a recent state of advances in mechatronics presented on the 9th International Conference Mechatronics 2011, hosted this year at the Faculty of Mechatronics, Warsaw University of Technology, Poland. The carefully selected contributions give an insight into the current development of these scientific disciplines, present the new results of research and development and indicate the trends of development in the interdisciplinary field of mechatronics systems. Even though many people believe that the presence of mechanical, electrical, electronic components, and computers make a system mechatronics, others do not feel the same as there is nothing wrong with the individual identity. The enclosed material is original, and reflects the main research tendencies and developments in mechatronics among Mechatronics 2011 contributing countries. It helps to acquire the mix of skills needed to comprehend and design mechatronic systems and also provides with the frame of understanding to develop a truly interdisciplinary and integrated approach to engineering. The enclosed material is original, and reflects the main research tendencies and developments in mechatronics among Mechatronics 2011 contributing countries. It helps to acquire the mix of skills needed to comprehend and design mechatronic systems and also provides with the frame of understanding to develop a truly interdisciplinary and integrated approach to engineering.
| Author | : Amit Kumar Tyagi |
| Publisher | : CRC Press |
| Total Pages | : 419 |
| Release | : 2024-10-23 |
| Genre | : Computers |
| ISBN | : 1040151396 |
Today, in this smart era, data analytics and artificial intelligence (AI) play an important role in predictive maintenance (PdM) within the manufacturing industry. This innovative approach aims to optimize maintenance strategies by predicting when equipment or machinery is likely to fail so that maintenance can be performed just in time to prevent costly breakdowns. This book contains up-to-date information on predictive maintenance and the latest advancements, trends, and tools required to reduce costs and save time for manufacturers and industries. Data Analytics and Artificial Intelligence for Predictive Maintenance in Smart Manufacturing provides an extensive and in-depth exploration of the intersection of data analytics, artificial intelligence, and predictive maintenance in the manufacturing industry and covers fundamental concepts, advanced techniques, case studies, and practical applications. Using a multidisciplinary approach, this book recognizes that predictive maintenance in manufacturing requires collaboration among engineers, data scientists, and business professionals and includes case studies from various manufacturing sectors showcasing successful applications of predictive maintenance. The real-world examples explain the useful benefits and ROI achieved by organizations. The emphasis is on scalability, making it suitable for both small and large manufacturing operations, and readers will learn how to adapt predictive maintenance strategies to different scales and industries. This book presents resources and references to keep readers updated on the latest advancements, tools, and trends, ensuring continuous learning. Serving as a reference guide, this book focuses on the latest advancements, trends, and tools relevant to predictive maintenance and can also serve as an educational resource for students studying manufacturing, data science, or related fields.
| Author | : John MacIntyre |
| Publisher | : Springer Nature |
| Total Pages | : 887 |
| Release | : 2020-11-04 |
| Genre | : Computers |
| ISBN | : 3030627462 |
This book presents the proceedings of The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy (SPIoT-2020), held in Shanghai, China, on November 6, 2020. Due to the COVID-19 outbreak problem, SPIoT-2020 conference was held online by Tencent Meeting. It provides comprehensive coverage of the latest advances and trends in information technology, science and engineering, addressing a number of broad themes, including novel machine learning and big data analytics methods for IoT security, data mining and statistical modelling for the secure IoT and machine learning-based security detecting protocols, which inspire the development of IoT security and privacy technologies. The contributions cover a wide range of topics: analytics and machine learning applications to IoT security; data-based metrics and risk assessment approaches for IoT; data confidentiality and privacy in IoT; and authentication and access control for data usage in IoT. Outlining promising future research directions, the book is a valuable resource for students, researchers and professionals and provides a useful reference guide for newcomers to the IoT security and privacy field.
