Electronic Device Fault Diagnosis Principles and Practice

Author: Zhu Daqi
Publisher:
Publish Date: 2004-01-01
Features: The book is divided into 9 chapters, with the first chapter as an introduction, systematically elaborating on the research overview and development trends of fault diagnosis technology. The second chapter introduces the generation mechanisms of electronic equipment faults and fault statistical analysis. Chapters 3 and 4 summarize conventional fault diagnosis methods for electronic equipment, such as analog and digital circuit diagnostics. Chapter 5 explains the basic theory of fault tree analysis for electronic equipment fault diagnosis. Chapter 6 introduces the practical application of fault tree analysis: a virtual instrument system for fault detection and diagnosis of optoelectronic radar electronic equipment. Chapter 7 covers neural network methods for electronic equipment fault diagnosis. Chapter 8 elaborates on information fusion technology and its applications in electronic equipment fault diagnosis. Chapter 9 introduces the design and practice of Agent-based fault diagnosis for electromechanical equipment. The content of the book can be divided into three parts: the first chapter is a review of fault diagnosis technology, the next three chapters are classic conventional methods for electronic equipment fault diagnosis, and the last five chapters focus on artificial intelligence techniques and practices in electronic equipment fault diagnosis. This book introduces the technology of fault detection and diagnosis for electronic equipment, with a focus on artificial intelligence methods for fault diagnosis. Its core content includes fault tree analysis, a virtual instrument system for fault detection and diagnosis of optoelectronic radar electronic equipment, neural network methods for electronic equipment fault diagnosis, information fusion technology, and finally, Agent technology for electromechanical equipment fault diagnosis. This book can serve as a textbook for graduate students in electronic, automation, and related fields. The fault causes of electronic equipment, artificial intelligence technology for fault diagnosis, and the practical application of automatic fault searching for large-scale electronic equipment introduced in the book provide certain guidance for researchers and engineering technicians in related theoretical studies.