Knowledge-Based System Diagnosis, Supervision, and Control edited by S.G. Tzafestas.

It is in the area of Systems Diagnosis. Supervision and Control that Knowledge-Based Techniques have had their most significant impact in recent years. In this volume. Spyros Tzafestas has ably put together the current state of the art of the application of Artificial Intelligence concepts to proble...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Tzafestas, S.G (Editor)
Format: eBook
Language:English
Published: New York, NY : Springer US : Imprint: Springer, 1989.
Edition:1st ed. 1989.
Series:Applied Information Technology
Springer eBook Collection.
Subjects:
Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.
Table of Contents:
  • 1 Application of Expert Systems in Engineering: An Introduction
  • 2 A Meta-Knowledge Architecture for Planning and Explanation in Repair Domains
  • 3 Expert Systems for Engineering Diagnosis: Styles, Requirements for Tools, and Adaptability
  • 4 The Use of Multidimensional Frames in Fault Diagnosis Knowledge Base
  • 5 A Specification Method for Diagnostic Systems in Large Industrial Environments
  • 6 Expert System Based on Multi-View/Multi-Level Model Approach for Test Pattern Generation
  • 7 Attribute Grammar, Approach to Knowledge-Based System Building: Application to Fault Diagnosis
  • 8 Coupling Symbolic and Numerical Computations for Intelligent Simulation
  • 9 Case Studies in Knowledge Based Fault Diagnosis and Control
  • 10 Control Algorithm Acquisition, Analysis and Reduction: A Machine Learning Approach
  • 11 Expert System Methodology in Process Supervision and Control
  • 12 Causal Reasoning in Real Time Expert System
  • 13 Knowledge-Based Tools for Manufacturing Control: A General View
  • 14 Fault Diagnosis of Chemical Processes
  • 15 Artificial Intelligence in Communications Networks Monitoring, Diagnosis and Operations
  • 16 A Survey of Expert Systems for Equipment Maintenance and Diagnostics
  • Contributors.