Fault Diagnosis Of Analog Integrated Circuits

Enables the reader to test an analog circuit that is implemented either in bipolar or MOS technology. Examines the testing and fault diagnosis of analog and analog part of mixed signal circuits. Covers the testing and fault diagnosis of both bipolar and Metal Oxide Semiconductor (MOS) circuits and introduces . Also contains problems that can be used as quiz or homework.

IS THE TOPIC ANALOG TESTING AND DIAGNOSIS TIMELY? Yes, indeed it is. Testing and Diagnosis is an important topic and fulfills a vital need for the electronic industry. The testing and diagnosis of digital electronic circuits has been successfuIly developed to the point that it can be automated. Unfortu nately, its development for analog electronic circuits is still in its Stone Age. The engineer's intuition is still the most powerful tool used in the industry! There are two reasons for this. One is that there has been no pressing need from the industry. Analog circuits are usuaIly small in size. Sometimes, the engineer's experience and intuition are sufficient to fulfill the need. The other reason is that there are no breakthrough results from academic re search to provide the industry with critical ideas to develop tools. This is not because of a lack of effort. Both academic and industrial research groups have made major efforts to look into this problem. Unfortunately, the prob lem for analog circuits is fundamentally different from and much more diffi cult than its counterpart for digital circuits. These efforts have led to some important findings, but are still not at the point of being practicaIly useful. However, these situations are now changing. The current trend for the design of VLSI chips is to use analog/digital hybrid circuits, instead of digital circuits from the past. Therefore, even Ix x Preface though the analog circuit may be small, the total circuit under testing is large.

This book provides a comprehensive discussion of automatic testing, diagnosis and tuning of analogue, mixed-signal and RF integrated circuits, and systems in a single source. As well as fundamental concepts and techniques, the book reports systematically the state of the arts and future research directions of those areas. A complete range of circuit components are covered and test issues from the SoC perspective. An essential reference for researchers and engineers in mixed signal testing, postgraduate and senior undergraduate students.

This book provides a state-of-the-art guide to Machine Learning (ML)-based techniques that have been shown to be highly efficient for diagnosis of failures in electronic circuits and systems. The methods discussed can be used for volume diagnosis after manufacturing or for diagnosis of customer returns. Readers will be enabled to deal with huge amount of insightful test data that cannot be exploited otherwise in an efficient, timely manner. After some background on fault diagnosis and machine learning, the authors explain and apply optimized techniques from the ML domain to solve the fault diagnosis problem in the realm of electronic system design and manufacturing. These techniques can be used for failure isolation in logic or analog circuits, board-level fault diagnosis, or even wafer-level failure cluster identification. Evaluation metrics as well as industrial case studies are used to emphasize the usefulness and benefits of using ML-based diagnosis techniques.

This book brings together important contributions and state-of-the-art research results in the rapidly advancing area of symbolic analysis of analog circuits. It is also of interest to those working in analog CAD. The book is an excellent reference, providing insights into some of the most important issues in the symbolic analysis of analog circuits.