Rui Yang – författare

This book provides advanced techniques for precision compensation and fault diagnosis of precision motion systems and rotating machinery. Techniques and applications through experiments and case studies for intelligent precision compensation and fault diagnosis are offered along with the introduction of machine learning and deep learning methods.

Machine Learning-Based Fault Diagnosis for Industrial Engineering Systems discusses how to formulate and solve precision compensation and fault diagnosis problems. The book includes experimental results on hardware equipment used as practical examples throughout the book. Machine learning and deep learning methods used in intelligent precision compensation and intelligent fault diagnosis are introduced. Applications to deal with relevant problems concerning CNC machining and rotating machinery in industrial engineering systems are provided in detail along with applications used in precision motion systems.

Methods, applications, and concepts offered in this book can help all professional engineers and students across many areas of engineering and operations management that are involved in any part of Industry 4.0 transformation.

This book provides advanced techniques for precision compensation and fault diagnosis of precision motion systems and rotating machinery. Techniques and applications through experiments and case studies for intelligent precision compensation and fault diagnosis are offered along with the introduction of machine learning and deep learning methods.

Machine Learning-Based Fault Diagnosis for Industrial Engineering Systems discusses how to formulate and solve precision compensation and fault diagnosis problems. The book includes experimental results on hardware equipment used as practical examples throughout the book. Machine learning and deep learning methods used in intelligent precision compensation and intelligent fault diagnosis are introduced. Applications to deal with relevant problems concerning CNC machining and rotating machinery in industrial engineering systems are provided in detail along with applications used in precision motion systems.

Methods, applications, and concepts offered in this book can help all professional engineers and students across many areas of engineering and operations management that are involved in any part of Industry 4.0 transformation.

Analytical Methods for Polymer Characterization presents a collection of methods for polymer analysis. Topics include chromatographic methods (gas chromatography, inverse gas chromatography, and pyrolysis gas chromatography), mass spectrometry, spectroscopic methods (ultraviolet-visible spectroscopy, infrared spectroscopy, Raman spectroscopy, and nuclear magnetic resonance), thermal analysis (differential scanning calorimetry and thermogravimetry), microscopy methods (scanning electron microscopy, transmission electron microscopy, and atomic force microscopy), and x-ray diffraction. The author also discusses mechanical and dynamic mechanical properties.

Analytical Methods for Polymer Characterization presents a collection of methods for polymer analysis. Topics include chromatographic methods (gas chromatography, inverse gas chromatography, and pyrolysis gas chromatography), mass spectrometry, spectroscopic methods (ultraviolet-visible spectroscopy, infrared spectroscopy, Raman spectroscopy, and nuclear magnetic resonance), thermal analysis (differential scanning calorimetry and thermogravimetry), microscopy methods (scanning electron microscopy, transmission electron microscopy, and atomic force microscopy), and x-ray diffraction. The author also discusses mechanical and dynamic mechanical properties.

This authoritative reference source covers all higher education themes in a comprehensive, accessible and comparative way. It maps the field for the twenty first century reflecting the massive changes that have occurred and the challenges ahead for future research. It provides a rich diversity of scholarly perspectives and covers the entire spectrum of higher education from a geographical, a topical and disciplinary perspective. It is unrivaled in its capacity to go beyond national boundaries and provides indispensible comparative analyses.

The major reference works available about higher education have been published more than two decades ago and since then higher education has undergone major changes that have resulted in a much larger, diverse, global, and multidimensional reality. One of the main trends has been relentless expansion on a worldwide scale. This has led to mass higher education becoming a reality across continents, substantial growth in the number of countries with universal access to higher education, and great diversification of the student body.  The tremendous increase in the international links in higher education, through issues such as training, students’ mobility, staff mobility, research activities, is another major change. The consequence is a global dimension that is strongly associated with the intensification of international networks in which institutions and researchers explore, create and share knowledge. As a result of the changes and trends, higher education has increasingly become part of debates that highlight its complexity as an institution that combines relevant political, social, economic, and cultural purposes and dimensions. Asked to play important and varied economic and social roles, higher education has had to reshape its priorities, and organizational and decision-making structures. The growth and increased complexity of the field have both led to more attention being paid to all aspects of higher education and to the expansion of research.