ข้อมูลทรัพยากร

Design of Systems and Circuits for Maximum Reliability or Maximum Production Yield.
ประเภททรัพยากร : หนังสือเล่ม
ชั้นเก็บ : ตู้ 9 ชั้น 4 ฝั่งซ้าย
หมวด : 600
เลขหมู่หนังสือ : 621.38153
สำนักพิมพ์ : Mc Graw-Hill.
ผู้แต่ง : Becker, Peter W.
ยอดคงเหลือ : 1
เนื้อหาย่อ : The ability to predict circuit and system reliability is becoming increasingly im-
portant due to the mounting awareness of product reliability by the government
and by the informed public. In most cases, efforts are concentrated on the predic-
tion of the probability of catastrophic failures, whereas the probability of system
or circuit failure caused by the gradual deterioration of its subsystems or compon-
ents has been shown only secondary interest. In many cases this viewpoint is
justifed, but a number of important situations occur where component drift must
be properly taken into account when estimating the reliability of the system. Of
special significance is the fact that the techniques employed in computing mar-
ginal reliability (also called drift reliability) are the same as those used in comput-
ing the yield at the time of production. The yield or tolerancing problem is
therefore stressed in this book, and the ultimate goal we pursue is the optimization
of yield or drift reliability. Although the examples in the book are taken largely
from the field of electrical engineering, the problem formulation and the solution
methods are quite general and apply to other fields of engineering as well.
The material presented in this book falls naturally into three parts. The first
part, Chaps. 1 through 4, introduces the problem of optimization of yield or drift
reliability (Chap. 1) and gives a brief account of some basic reliability concepts
(Chap. 2). Chapter 3 is concerned with the discipline of design. A number of
concepts are defined, and the design problem is formulated in a manner that lends
itself to solution by computer techniques. Some fundamental reliability ideas are
discussed in Chap. 4, which lead to the formulation of a yield (or drift reliability)
model. The model takes the form of an integration of probability mass over a
permissible region in input-parameter space.