This paper describes three diagnostic methods for use with industrial processes. They are measurement validation, alarm analysis, and fault diagnosis. Measurement validation means consistency checking of sensor and measurement values using any redundancy of instrumentation. Alarm analysis is the analysis of multiple alarm situations to find which alarms are directly connected to primary faults ...

In this paper, we present a probabilistic theory of abductive diagnostic reasoning. The domain knowledge is represented by a causal network. An explanation of a set of observations is a chain of causation events. These causation events constitute a scenario where all the observations can be observed. We deene the best explanation to be the most probable explanation. The underlying causal model ...

Both clinicians and patients rely on an accurate diagnostic process to identify the correct illness and craft a treatment plan. Achieving improved diagnostic accuracy also fulfills organizational fiscal, safety, and legal objectives. It is frequently assumed that clinical experience and knowledge are sufficient to improve a clinician's diagnostic ability, but studies from fields where decision ...

We present a d i a g n o s t i c model of so f tware f a u l t l o c a l i z a t i o n . A diagnoatic. approach to f a u l t l o c a l i z a t i o n has proven e f f e c t i v e In the domains of medic ine and d i g i t a l hardware. App l y ing t h i s approach to the so f tware domain r e q u i r e s two e x t e n s i o n s : a h e u r i s t i c a b s t r a c t i o n mechanism which i n f e r...

In diagnostic causal reasoning, the goal is to infer the probability of causes from one or multiple observed effects. Typically, studies investigating such tasks provide subjects with precise quantitative information regarding the strength of the relations between causes and effects or sample data from which the relevant quantities can be learned. By contrast, we sought to examine people's infe...