04475nam a22005895i 4500 978-981-97-2677-6 DE-He213 20251030112654.0 cr nn 008mamaa 240727s2024 si | s |||| 0|eng d 9789819726776 978-981-97-2677-6 10.1007/978-981-97-2677-6 doi TJ212-225 TJFM bicssc GPFC bicssc TEC007000 bisacsh TJFM thema Liu, Min. author. aut http://id.loc.gov/vocabulary/relators/aut 81402 Intelligent Predictive Maintenance [electronic resource] / by Min Liu, Ling Li, Feng Yan. 1st ed. 2024. Singapore : Springer Nature Singapore : Imprint: Springer, 2024. XVIII, 468 p. 216 illus., 137 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Advanced and Intelligent Manufacturing in China, 2731-5991 Chapter 1 Introduction -- Chapter 2 Methods of Fault Diagnosis and Prediction -- Chapter 3 Intelligent Predictive Maintenance System and Framework -- Chapter 4 IoT-based Perception Resource Management Framework and Model -- Chapter 5 Wireless Routing Model and Algorithm for Complex Manufacturing Environment -- Chapter 6 Protocol Integration and Design Case of Data Collection -- Chapter 7 Data-driven Fault Diagnosis Methods -- Chapter 8 Data-driven Fault Prediction Model and Methods -- Chapter 9 Maintenance Optimization Scheduling and Decision Making in Intelligent Factories -- Chapter 10 Large-scale Maintenance Service Forecasting and Optimization Configuration -- Chapter 11 Operation Process Control based on Cyber-Physical Systems. In the field of equipment/product operation and maintenance (O&M) services, the new generation of information technologies such as the internet, big data, and artificial intelligence are deeply integrated with O&M services to form an internet-based Maintenance Repair & Operation (MRO) service network and an intelligent service environment. To deal with the uncertainties of multiple collaborative entities and highly random equipment failures in the large-scale MRO network, this book establishes the theory, technology, and methods of Intelligent Predictive Maintenance (IPdM) for the MRO service network through the study of high-quality acquisition and integration of multi-source heterogeneous data, data-driven equipment fault diagnosis and prediction, large-scale maintenance decision-making, feedback, and control. The book systematically elaborates on the emerging theories, technologies, and methods in the field of equipment/product O&M services, covering a wide range of topics with rich contents. It emphasizes both systematic and scientific approaches as well as practicality. It offers both comprehensive and specialized discussions to reflect the strategic deployment and implementation of China's new generation of intelligent manufacturing and artificial intelligence in this field. The basis of English translation of this book, originally in Chinese, was facilitated by artificial intelligence. The content was later revised by the author for accuracy. Control engineering. Engineering Data processing. Security systems. 66821 Control and Systems Theory. 65868 Data Engineering. 66059 Security Science and Technology. 66822 Li, Ling. author. aut http://id.loc.gov/vocabulary/relators/aut 81403 Yan, Feng. author. aut http://id.loc.gov/vocabulary/relators/aut 81404 SpringerLink (Online service) Springer Nature eBook Printed edition: 9789819726769 Printed edition: 9789819726783 Printed edition: 9789819726790 Advanced and Intelligent Manufacturing in China, 2731-5991 69250 https://doi.org/10.1007/978-981-97-2677-6 ZDB-2-INR ZDB-2-SXIT 61976 61976