It is highly desirable to systematize and automate the process of designing
diagnosis systems. The reason is that in many applications, high diagnosis
performance is required, and at the same time, the time-consuming engineer
ing work of designing diagnosis systems must be minimized. Here, model-base
d diagnosis based on structured hypothesis tests is considered. Principles
for evaluating diagnosis systems are developed, and a systematic and automa
tic design procedure is proposed. The procedure is successfully applied to
the problem of designing a diagnosis system for the air-intake system of an
automotive engine. The resulting diagnosis system is then experimentally v
alidated using a real engine. (C) 1999 Elsevier Science Ltd. All rights res
erved.