Knowledge representation structure of expert system development tool ESDT-HKD

2001 ◽  
Author(s):  
Deyun Chen
Keyword(s):  
Expert System ◽  
Knowledge Representation ◽  
System Development ◽  
Development Tool ◽  
Representation Structure

Study on Fault Diagnosis Expert System of Aircraft Power-Supply System

2014 ◽  
Vol 945-949 ◽  
pp. 2617-2622 ◽  
Author(s):  
Xu Yan Zhuang ◽  
Ya Yun Xu ◽  
Yong Bao
Keyword(s):  
Fault Diagnosis ◽  
Expert System ◽  
Knowledge Base ◽  
Power Supply ◽  
Power Supply System ◽  
System Development ◽  
Inference Engine ◽  
Supply System ◽  
Development Platform ◽  
Development Tool

We always regard aircraft power supply system as the "blood system" of aircraft. It plays a very important role in aircraft work. In view of its fault diagnosis present situation and in order to improve fault diagnosis efficiency, we put forward to use expert system development tool CLIPS to build up fault diagnosis expert system. In this paper, we choose the power-supply system of Cirrus SR20 as diagnosis object, and choose CLIPS as development tool to build up knowledge base and inference engine. By using Eclips development platform to write interface programs and using CLIPS JNI to call CLIPS programs we successfully complete the expert system total performance including knowledge base, inference engine and interface.

scholarly journals Knowledge-Based Expert System Development and Validation with Petri Nets

2008 ◽  
Vol 07 (01) ◽  
pp. 37-46 ◽  
Author(s):  
Madjid Tavana
Keyword(s):  
Expert System ◽  
Knowledge Representation ◽  
Petri Nets ◽  
Decision Trees ◽  
System Development ◽  
Semantic Networks ◽  
Knowledge Based ◽  
Medical Diagnostic ◽  
High Level ◽  
Decision Tables

Expert systems (ESs) are complex information systems that are expensive to build and difficult to validate. Numerous knowledge representation strategies such as rules, semantic networks, frames, objects and logical expressions are developed to provide high-level abstraction of a system. Rules are the most commonly used form of knowledge representation and they are derived from popular techniques such as decision trees and decision tables. Despite their huge popularity, decision trees and decision tables are static and cannot model the dynamic requirements of a system. In this study, we propose Petri Nets (PNs) for dynamic system representation and rule derivation. PNs with their graphical and precise nature and their firm mathematical foundation are especially useful for building ESs that exhibit a variety of situations, including: sequential execution, conflict, concurrency, synchronisation, merging, confusion, or prioritisation. We demonstrate the application of our methodology in the design and development of a medical diagnostic expert system.

scholarly journals PENGGUNAAN METODE FORWARD CHAINING PADA APLIKASI DETEKSI PENDINGIN REAKTOR SERBA GUNA/PRSG-BATAN

2015 ◽  
Vol 8 (1) ◽  
Author(s):  
Dandhy Perdana Syafrizal ◽  
A.Hanifa Setyaningrum ◽  
Khodijah Hulliyah
Keyword(s):  
Artificial Intelligence ◽  
Life Cycle ◽  
Expert System ◽  
Knowledge Representation ◽  
System Development ◽  
Depth First Search ◽  
Forward Chaining ◽  
Development Life Cycle

Reaktor  Serba  Guna  G.A.  Siwabessy  terletak  di  kawasan  Pusat  Penelitian  Ilmu  Pengetahuan  dan Teknologi  (PUSPIPTEK)  Serpong, merupakan  reaktor  riset  yang  dimiliki  oleh Badan  Tenaga Nuklir Nasional (BATAN).  Reaktor  penelitian  ini  berdaya  30  MW  thermal  dengan  fluks  neutron  thermal  sebesar  2  x  1014 n/cm2/detik,  memiliki  beberapa  fasilitas  yang  dapat  digunakan  untuk  melakukan  penelitian  bidang  ilmu pengetahuan  dan  teknologi  nuklir,  juga  melayani  kegiatan  iradiasi  seperti  pengujian  material  dan  produksi radioisotop. Operasi  reaktor  sudah  berlangsung  sejak  diresmikannya  pada  tahun  1987  yang  sudah  tentu  sistem atau peralatan kinerjanya seperti sistem pompa pendingin reaktor sudah menurun yang berdampak  terganggunya operasi reaktor, sehingga harus dicari solusi untuk memudahkan penelusuran gangguan tersebut. Sistem Aplikasi Deteksi gangguan pompa pendingin reaktor sehingga mempermudah dan mempercepat deteksi terhadap gangguan pompa pendingin reaktor. Metode pengembangan sistem yang digunakan yaitu Expert System Development Life Cycle  (ESDLC). Metode Foward Chaining digunakan  sebagai  teknik penalaran dari Knowledge Representation Pakar, dan teknik penulusuran Depth First Search  dalam penyusunan algoritmanya. Kata Kunci : Artificial Intelligence, Expert System, Forward Chaining, DFS

Object-Oriented Technology for Expert System Generation

2010 ◽  
pp. 319-336
Author(s):  
Xenia Naidenova
Keyword(s):  
Expert System ◽  
Knowledge Representation ◽  
Rapid Prototyping ◽  
Expert Systems ◽  
Intelligent Systems ◽  
System Development ◽  
Object Oriented ◽  
Effective Algorithm ◽  
Object Oriented Technology ◽  
System Generation

A technology for rapid prototyping expert systems or intelligent systems as a whole is proposed. The main constituents of the technology are the object-oriented model of data and knowledge representation and the mechanism for data-knowledge transformation on the basis of an effective algorithm of inferring all good classification tests. An approach to expert system development by means of this technology is analyzed. The toolkits for expert system generation are described and the application of these tools to the development of a small geological expert system is demonstrated.

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