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.
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