Feng Yan

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.

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.

Immunosensing for Detection of Protein Biomarkers not only introduces the principles, methods, and classification of immunoassay, but also presents the latest achievements in areas such as electrochemical immunosensors, nanoprobe-based immunoassay, chemiluminescence immunoassay, electrochemiluminescent immunoassay, multianalyte immunoassay, optical imaging for immunoassay, signal amplification for immunoassay, and so on. In recent years, immunosensing and immunoassay methods have attracted considerable interest due to their applications in different fields, particularly clinical diagnosis. Although a large number of academic papers in immunosensing and immunoassay have been published in different journals recently, it is still a difficult and time-consuming task for researchers, especially those new to the area, to understand the principles, methods, and research progress of immunosensing. Based on the research experience of the authors and their research groups, this book offers readers with new research ideas to develop immunosensing methodology. As a monograph, it offers deeper and more complete coverage than review papers, which only report certain aspects of progress. Grounded in the research experience of Professor Ju’s research group, the book focuses on immunosensing for detection of protein biomarkers, summarizing understanding, research, and practice on immunosensing methodology in detection of protein biomarkers.