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Temporally Distributed Symptoms in Technical Diagnosis (Paperback, 1991 ed.)
Loot Price: R1,496
Discovery Miles 14 960
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Temporally Distributed Symptoms in Technical Diagnosis (Paperback, 1991 ed.)
Series: Lecture Notes in Computer Science, 517
Expected to ship within 10 - 15 working days
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Complex machines can fail in complex ways. Often the nature of the
fault can be determined only through the interpretation of machine
behavior over time. This book presents a novel approach to the
representation and recognition of temporally distributed symptoms.
Existing diagnostic expert systems usually operate under a set of
simplifying assumptions that limit their applicability. A common
assumption is that the device to be diagnosed has a static
behavior, with the relation between inputs and outputs constant
over time. In most realistic application domains this assumption is
violated and both the normal, intended function of the device and
the potential malfunctions are complex behaviors over time. This
book addresses the problem of systematically treating information
about fault symptoms that are spread out over periods of time.
These symptoms are characterized by a specific order of events, and
in the general case a single snapshot of the device state does not
suffice to recognize the symptoms. Instead one has to plan a
measurement sequence that consists of several observations at more
than one time point. Starting with a classification of various
types of dynamic faulty behavior, the author identifies temporally
distributed systems (TDSs) and designs a representation language
that allows TDSs to be specified in a declarative manner. The
definition of a successful match of a measurement sequence against
a TDS specification is operationalized as an algorithm which plans
such an observation sequence based on the TDS specification. The
author demonstrates that his novel solution is a generic,
paradigm-independent building block for diagnostic expert systems
by embedding it into the frameworks of both an associative and a
model-based diagnostic system. The book will be valuable both for
researchers working on applications of temporal reasoning and
prospective users of technical expert systems.
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