Knowledge-Based System Diagnosis, Supervision, and Control. Questo articolo non è disponibile.Knowledge-Based System Diagnosis, Supervision, and Control

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 problems of Systems Diagnosis. All the authors in this edited work are distinguished internationally. recognized experts on various aspects of Artificial Intelligence and its applications. and the coverage of the field that they provide is both readable and authoritative. The sixteen chapters break down in a natural way into three broad categories i.e •• (a) introduction to the applications of Expert Systems in Engineering. (b) Knowledge-based systems architectures. models and techniques for fault diagnosis. supervision and real time control and finally. (c) applications and case studies in three specific 'areas. namely: Manufacturing. Chemical Processes and Communications Networks. The final chapter provides a com­ prehensive survey of the field with an extensive bibliography. The mix of original scientific articles. tutorial and survey papers makes this col­ lection a very timely and valuable addition to the literature in this important field. MADAN G. SINGH Professor of Information Engineering at U.M.I.S.T.

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.