Fault diagnosis of CNC machine tools

Author: Xia Qingguan
Publisher:
Publish Date: 2004-07-01
Features: This book is primarily intended as a textbook for undergraduate students majoring in CNC technology application, mechatronics, and related fields, as well as a reference for engineering technicians working with CNC machine tools. The book systematically introduces the fundamental principles, techniques, and methods of CNC machine tool fault diagnosis, divided into 8 chapters. Chapter 1 introduces the basic concepts of CNC machine tool fault diagnosis; Chapter 2 covers the fundamental description of signals; Chapter 3 presents the fundamentals of signal analysis and processing techniques for fault diagnosis; Chapter 4 discusses the diagnostic methods for mechanical faults in CNC machine tools; Chapter 5 explores systematic fault diagnosis for CNC machine tools, with a focus on the self-diagnostic functions of CNC systems; Chapter 6 covers fault diagnosis for auxiliary equipment of CNC machine tools; Chapter 7 discusses advancements in CNC machine tool fault diagnosis techniques, including wavelet transform, fuzzy diagnosis, artificial neural network diagnosis, and expert systems; Chapter 8 introduces monitoring and fault diagnosis for manufacturing systems.