Yi Wang

Kesheng Wang

Tao Yu

This book is a compilation of selected papers from the 12th International Workshop of Advanced Manufacturing and Automation (IWAMA 2022), held in Jimei University, Xiamen, China on 01 - 02 November, 2022. Topics focusing on novel techniques for manufacturing and automation in Industry 4.0 are now vital factors for the maintenance and improvement of the economy of a nation and the quality of life. It will help academic researchers and engineering to implement the concept, theory and methods in Industry 4.0 which has been a hot topic. These proceedings will make valuable contributions to academic researchers, engineers in the industry for the challenges in the 4th industry revolution and smart factories.

Advanced Manufacturing and Automation XII

Kristian Martinsen

This book presents selected papers from the 10th International Workshop of Advanced Manufacturing and Automation (IWAMA 2020), held in Zhanjiang, Guangdong province, China, on October 12-13, 2020. Discussing topics such as novel techniques for manufacturing and automation in Industry 4.0 and smart factories, which are vital for maintaining and improving economic development and quality of life, it offers researchers and industrial engineers insights into implementing the concepts and theories of Industry 4.0, in order to effectively respond to the challenges posed by the 4th industrial revolution and smart factories.

Advanced Manufacturing and Automation X

Written as a result of a several-year research project using Computational Intelligence techniques for solving condition monitoring and diagnosis problems of machineries at the Norwegian University of Science and Technology, this book is about intelligent system development. In order to survive in an uncertain and complex environment, it is necessary to bring Artificial Neural Networks, Fuzzy Logic Systems, Genetic Algorithms and Expert systems together to make a condition monitoring and diagnosis system more effective, reliable, and cost effective than the traditional one. The focus of Intelligent Condition Monitoring and Diagnosis System is on practical applications of intelligent techniques. It provides practicing engineers and scientists with the information they need to solve the problems in both industry and academia.

A Computational Intelligence Approach

Intelligent Condition Monitoring and Diagnosis Systems

Jan Ola Strandhagen

This proceeding is a compilation of selected papers from the 8th International Workshop of Advanced Manufacturing and Automation (IWAMA 2018), held in Changzhou, China on September 25 - 26, 2018. Most of the topics are focusing on novel techniques for manufacturing and automation in Industry 4.0 and smart factory. These contributions are vital for maintaining and improving economic development and quality of life. The proceeding will assist academic researchers and industrial engineers to implement the concepts and theories of Industry 4.0 in industrial practice, in order to effectively respond to the challenges posed by the 4th industrial revolution and smart factory.

Kesheng Wang

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