Yanfei Li

This book gives a detailed introduction to the technical background, feature extraction methods, PHM models and big data embedding methods of the big data theory in PHM for intelligent electromechanical systems. Combination with deep learning and big data, this book explains the hybrid algorithm framework of PHM such as ensemble intelligence and optimized intelligence and introduces PHM models for bearing, IGBT, MOSFET and other components and their big data embedding platform. This book improves the PHM method and theory of electromechanical system under industrial big data and provides reference for the development of intelligent electromechanical equipment and intelligent industrial production in the future.

This book presents a series of state-of-the-art methods for air quality monitoring in various engineering environment by using data science. In the book, the data-driven key techniques of the preprocessing, decomposition, identification, clustering, forecasting and interpolation of the air quality monitoring are explained in details with lots of experimental simulation. The book can provide important reference for the development of data science technologies in engineering air quality monitoring. The book can be used for students, engineers, scientists and managers in the fields of environmental engineering, atmospheric science, urban climate, civil engineering, traffic and vehicle engineering, etc.

This book combines energy economics and big data modeling analysis in energy conversion and management and comprehensively introduces the relevant theories, key technologies, and application examples of the smart energy economy. With the help of time series big data modeling results, energy economy managers develop reasonable and feasible pricing mechanisms of electricity price and improve the absorption capacity of the power grid. In addition, they also carry out scientific power equipment scheduling and cost–benefit analysis according to the results of data mining, so as to avoid the loss caused by accidental damage of equipment. Energy users adjust their power consumption behavior through the modeling results provided and achieve the effect of energy saving and emission reduction while reasonably reducing the electricity expenditure. This book provides an important reference for professionals in related fields such as smart energy, smart economy, energy Internet, artificial intelligence, energy economics and policy.

This book combines energy economics and big data modeling analysis in energy conversion and management and comprehensively introduces the relevant theories, key technologies, and application examples of the smart energy economy. With the help of time series big data modeling results, energy economy managers develop reasonable and feasible pricing mechanisms of electricity price and improve the absorption capacity of the power grid. In addition, they also carry out scientific power equipment scheduling and cost–benefit analysis according to the results of data mining, so as to avoid the loss caused by accidental damage of equipment. Energy users adjust their power consumption behavior through the modeling results provided and achieve the effect of energy saving and emission reduction while reasonably reducing the electricity expenditure. This book provides an important reference for professionals in related fields such as smart energy, smart economy, energy Internet, artificial intelligence, energy economics and policy.

Smart Metro Station Systems: Data Science and Engineering introduces key technologies in data science and engineering for smart metro station systems. The book consists of three main parts, focusing on the environment, people and energy. Each chapter includes practical applications, along with information on metro traffic flow monitoring and passenger guidance, methods for behavior analysis and trajectory projection, clustering and anomaly detection in crowd hotspots, monitoring and prediction for station humidity, monitoring and spatial prediction for air pollutants, time series feature extraction and analysis of metro load, characteristic and correlation analysis of metro load, and prediction and intelligent ventilation control. This volume offers a key reference on the emerging area of smart metro stations and will be useful to those working on smart railways, data science, engineering, artificial intelligence and aligned fields.

Speaking Out: Issues and Controversies ???? is an advanced Chinese language textbook that explores topics such as human nature, moral values, mass consumption, Western influences, and technological innovation. In presenting subjects that reflect major concerns in contemporary China, the book invites students to reflect upon the forces shaping modern Chinese society. This textbook presents ten lessons in five units entitled "Constancy and Change," "Joy and Sorrow," "Right and Wrong," "Chinese Tradition and Western Influence," and "New and Old." These pairs of opposites conjure up an ever-changing world of ebb and flow, a world that stimulates learners’ imaginations and arouses their enthusiasm for open dialogue and lively discussion. Concise in language and with lessons in both simplified and traditional characters, the textbook is a valuable aid for university students interested in passing the HSK Level VI or attaining ACTFL advanced-level proficiency. Accompanying audio recordings can be found online at www.routledge.com/9780367902704.

Speaking Out: Issues and Controversies ???? is an advanced Chinese language textbook that explores topics such as human nature, moral values, mass consumption, Western influences, and technological innovation. In presenting subjects that reflect major concerns in contemporary China, the book invites students to reflect upon the forces shaping modern Chinese society. This textbook presents ten lessons in five units entitled "Constancy and Change," "Joy and Sorrow," "Right and Wrong," "Chinese Tradition and Western Influence," and "New and Old." These pairs of opposites conjure up an ever-changing world of ebb and flow, a world that stimulates learners’ imaginations and arouses their enthusiasm for open dialogue and lively discussion. Concise in language and with lessons in both simplified and traditional characters, the textbook is a valuable aid for university students interested in passing the HSK Level VI or attaining ACTFL advanced-level proficiency. Accompanying audio recordings can be found online at www.routledge.com/9780367902704.

This book presents a series of state-of-the-art methods for air quality monitoring in various engineering environment by using data science. In the book, the data-driven key techniques of the preprocessing, decomposition, identification, clustering, forecasting and interpolation of the air quality monitoring are explained in details with lots of experimental simulation. The book can provide important reference for the development of data science technologies in engineering air quality monitoring. The book can be used for students, engineers, scientists and managers in the fields of environmental engineering, atmospheric science, urban climate, civil engineering, traffic and vehicle engineering, etc.