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25 Remote Warehouse Computers Reference- General

Lecture Notes in Computer Science / Lecture Notes in Artific #517: Temporally Distributed Symptoms in Technical Diagnosis

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Lecture Notes in Computer Science / Lecture Notes in Artific #517: Temporally Distributed Symptoms in Technical Diagnosis Cover

 

Synopses & Reviews

Publisher Comments:

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.

Description:

Includes bibliographical references (p. 157-162) and index.

Product Details

ISBN:
9783540543169
Author:
Nokel, K.
Publisher:
Springer
Author:
Nokel, Klaus
Author:
Nvkel, Klaus
Author:
N??kel, Klaus
Location:
Berlin, Heidelberg
Subject:
Expert Systems
Subject:
Fault location (Engineering)
Subject:
Fault location
Subject:
Expert systems (computer science)
Subject:
Artificial Intelligence - General
Subject:
Computer Vision
Subject:
Electronics - General
Subject:
Intelligence (AI) & Semantics
Subject:
Computers-Reference - General
Subject:
Artificial Intelligence
Subject:
Design -- Methodology.
Subject:
Design-Methoden
Subject:
Expertensystem
Subject:
Knowledge representation.
Subject:
Prüfung (Techn.)
Subject:
Technical Diagnosis
Subject:
Technische Diagnose
Subject:
Wissensdarstellung
Subject:
Artificial Intelligence (incl. Robotics)
Subject:
Pattern recognition.
Subject:
Complexity
Subject:
Computer Science
Subject:
Language, literature and biography
Subject:
Optical pattern recognition
Subject:
Engineering
Copyright:
Edition Description:
Book
Series:
Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence
Series Volume:
209
Publication Date:
19910823
Binding:
TRADE PAPER
Language:
English
Illustrations:
Yes
Pages:
180
Dimensions:
242 x 170 mm 590 gr

Related Subjects

Computers and Internet » Artificial Intelligence » General
Computers and Internet » Computers Reference » General
Science and Mathematics » Electricity » General Electronics
Science and Mathematics » Mathematics » Topology

Lecture Notes in Computer Science / Lecture Notes in Artific #517: Temporally Distributed Symptoms in Technical Diagnosis New Trade Paper
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Product details 180 pages Springer - English 9783540543169 Reviews:
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