Application Research on Expert System of Incremental In-Plane Bending

2008 ◽  
Vol 575-578 ◽  
pp. 600-605
Author(s):  
Wen Ting Tang ◽  
Chao Li Tang ◽  
Lei Huang ◽  
He Yang
Keyword(s):  
Expert System ◽  
Knowledge Base ◽  
Visual Basic ◽  
Application Research ◽  
Client Server ◽  
Reasoning System ◽  
Search Mechanism ◽  
Bending Radius ◽  
Plane Bending ◽  
And Control

Incremental in-plane bending is a flexible and laborsaving manufacturing technology for short production runs in a variety of sizes and shapes. But the technology parameters are interactive intimately and it is hard to forecast and control the bending radius accurately. Based on the features of incremental in-plane bending and the advantage of expert system dealing with problems, an expert system of incremental in-plane bending by designing knowledge base of representation of creation regulation, reasoning system based on rules and search mechanism and explaining system based on prefabricating text has been researched and developed in this paper. The system, making use of ADO technology, Access database and Visual Basic, develops knowledge base, database and reasoning system. Based on client / server model, the system realizes a seamless link between Visual Basic and Matlab by using ActiveX. The system can perform functions of bending radius forecasting and forming program evaluating and optimizing. It has a friendly interface and it is easy to operate and convenient for maintenance.

Expert System Based on ESTA and Guide for Condition Evaluation of Transformers

2011 ◽  
Vol 347-353 ◽  
pp. 306-309
Author(s):  
Qi Ming Cui ◽  
Shu Ting Cui ◽  
Zu Yuan Guan ◽  
Wen Tao Sun
Keyword(s):  
Expert System ◽  
Knowledge Base ◽  
Power Transformers ◽  
Basic Process ◽  
State Variables ◽  
Application Research ◽  
Expert System Shell ◽  
Operation And Maintenance ◽  
Condition Evaluation ◽  
Maintenance Personnel

Through the application research of expert system shell ESTA, We have established a transformer condition evaluation expert system(ES) based on ESTA and corporate standards of State Grid (Q/GDW 169-2008) «Guide forCondition Evaluation of Oil-immersed Power Transformers (Reactors) ». Knowledge Base consists of several sections, parameters, rules in the evaluation of state variables, components and transformers. The value of the transformer condition evaluation expert system is that it supports and enhances the operation and maintenance personnel work, guidance (less experienced) the operation and maintenance personnel to understand the basic process of transformer condition evaluation. The application show that the system is effective and practical.

Knowledge Acquisition for Large-Scale Expert Systems in Transportation

1998 ◽  
Vol 1651 (1) ◽  
pp. 59-65
Author(s):  
Jeffrey L. Adler ◽  
Eknauth Persaud
Keyword(s):  
Expert System ◽  
Expert Systems ◽  
Knowledge Acquisition ◽  
Knowledge Base ◽  
Traditional Knowledge ◽  
Large Scale ◽  
Knowledge Engineering ◽  
Problem Domain ◽  
Client Server ◽  
Server Application

One of the greatest challenges in building an expert system is obtaining, representing, and programming the knowledge base. As the size and scope of the problem domain increases, knowledge acquisition and knowledge engineering become more challenging. Methods for knowledge acquisition and engineering for large-scale projects are investigated in this paper. The objective is to provide new insights as to how knowledge engineers play a role in defining the scope and purpose of expert systems and how traditional knowledge acquisition and engineering methods might be recast in cases where the expert system is a component within a larger scale client-server application targeting multiple users.

scholarly journals PERANCANGAN DAN IMPLEMENTASI APLIKASI SISTEM PAKAR UNTUK KERUSAKAN SPEAKER AKTIF DENGAN METODE BACKWARD CHAINING

2017 ◽  
Vol 2 (1) ◽  
Author(s):  
Made Agung Raharja
Keyword(s):  
User Interface ◽  
Expert System ◽  
Knowledge Base ◽  
Electronic Device ◽  
Visual Basic ◽  
Inference Engine ◽  
Backward Chaining ◽  
Implementation Phase ◽  
Main Components ◽  
Visual Basic 6.0

ABSTRACT<br />Information technology developments today, both hardware and software, computers have<br />been unable to solve problems faced by humans in various fields so that it can be resolved easily. In<br />everyday practice where a novice technician is in need of the guidance of an expert. Because<br />technicians beginners usually have a fear of taking their own decisions in diagnosing damage to an<br />electronic device. The main components that should be present in an expert system is a knowledge<br />base (knowledge base), inference engine (engine puller conclusion), explanation subsystem<br />(explanatory output subsystem) and the user interface. The implementation phase is done design the<br />system into a software model that has been designed in the previous stage. application of expert<br />systems for active speaker damage by backward chaining method in the programming language<br />Visual Basic 6.0. The results of this research are expert systems to assist in damage to diagnose<br />active speakers can make it easy for novice technicians to find the cause kerusan on the active<br />speaker. Expert system application is an implementation of a design that has been done before for<br />the decision to search for the cause of damage and the active speaker solutions in practice still<br />requires an expert in repairing active speakers.<br />Keywords: expert system, powered speakers<br />ABSTRAK<br />Perkembangan teknologi infromasi saat ini, baik hardware dan software, komputer telah<br />mampu menyelesaikan masalah diberbagai bidang yang dihadapi manusia sehingga dapat<br />terselesaikan dengan mudah. Dalam praktek sehari-hari dimana seorang teknisi pemula sangat<br />memerlukan bimbingan dari seorang pakar. Karena teknisi pemula biasanya mempunyai ketakutan<br />untuk mengambil keputusan sendiri dalam melakukan diagnosis kerusakan suatu perangkat<br />elektronik. Komponen utama yang harus ada dalam sebuah sistem pakar adalah knowledge base<br />(basis pengetahuan), inference engine (mesin penarik kesimpulan), explanation subsystem<br />(subsistem penjelas output) dan user interface. Tahap implementasi dilakukan rancang bangun<br />sistem ke dalam suatu perangkat lunak dari model yang telah di rancang pada tahap sebelumnya.<br />aplikasi sistem pakar untuk kerusakan speaker aktif dengan metode backward chaining dalam bahasa<br />pemrograman Visual Basic 6.0. Hasil dari penelitian ini adalah Sistem pakar untuk membantu dalam<br />mengdiagnosa kerusakan pada aktif speaker ini dapat memberikan kemudahan bagi teknisi pemula<br />untuk mencari penyebab kerusan pada aktif speaker. Aplikasi sistem pakar ini merupakan<br />implementasi dari perancangan yang telah dilakukan sebelumnya untuk keputusan pencarian<br />penyebab kerusakan dan solusi pada aktif speaker dalam praktiknya tetap memerlukan seorang yang<br />ahli dalam memperbaiki aktif speaker.<br />Kata Kunci: Sistem pakar, speaker aktif, expert system

A fuzzy logic system for expert systems

1988 ◽  
Vol 2 (3) ◽  
pp. 183-193 ◽  
Author(s):  
Te-Chuan Chang ◽  
C. William Ibbs ◽  
Keith C. Crandall
Keyword(s):  
Fuzzy Logic ◽  
Expert System ◽  
Knowledge Base ◽  
Fuzzy Logic System ◽  
Future Research ◽  
Rule Based ◽  
Reasoning System ◽  
Fuzzy Production Rules ◽  
Future Research Directions ◽  
Logic System

Using the theory of fuzzy sets, this paper develops a fuzzy logic reasoning system as an augmentation to a rule-based expert system to deal with fuzzy information. First, fuzzy set theorems and fuzzy logic principles are briefly reviewed and organized to form a basis for the proposed fuzzy logic system. These theorems and principles are then extended for reasoning based on knowledge base with fuzzy production rules. When an expert system is augmented with the fuzzy logic system, the inference capability of the expert system is greatly expanded; and the establishment of a rule-based knowledge base becomes much easier and more economical. Interpretations of the system’s power and possible future research directions conclude the paper.

SISTEM PAKAR MENDIAGNOSA VIRUS MAYORA DENGAN METODE VARIABLE CENTERED INTELLIGENT RULE SYSTEM (VCIRS)

2018 ◽  
Vol 2 (1) ◽  
Author(s):  
Siti Nurhena ◽  
Nelly Astuti Hasibuan ◽  
Kurnia Ulfa
Keyword(s):  
Artificial Intelligence ◽  
Immune System ◽  
Expert System ◽  
Expert Systems ◽  
Dengue Hemorrhagic Fever ◽  
Hemorrhagic Fever ◽  
Visual Basic ◽  
Artificial Intelligence Techniques ◽  
Individual Needs ◽  
Rule System

The diagnosis process is the first step to knowing a type of disease. This type of disease caused by mosquitoes is one of the major viruses (MAVY), dengue hemorrhagic fever (DHF) and malaria. Sometimes not everyone can find the virus that is carried by this mosquito, usually children who are susceptible to this virus because the immune system that has not been built perfectly is perfect. To know for sure which virus is infected by mosquitoes, it can diagnose by seeing symptoms perceived symptoms. Expert systems are one of the most used artificial intelligence techniques today because expert systems can act as consultations. In this case the authors make a system to start a diagnosis process with variable centered intelligent rule system (VCIRS) methods through perceived symptoms. With the facilities provided for users and administrators, allowing both users and administrators to use this system according to their individual needs. This expert system is made with the Microsoft Visual Basic 2008 programming language.Keywords: Expert System, Mayora Virus, Variable Centered Intelligent Rule System (VCIRS)The diagnosis process is the first step to knowing a type of disease. This type of disease caused by mosquitoes is one of the major viruses (MAVY), dengue hemorrhagic fever (DHF) and malaria. Sometimes not everyone can find the virus that is carried by this mosquito, usually children who are susceptible to this virus because the immune system that has not been built perfectly is perfect. To know for sure which virus is infected by mosquitoes, it can diagnose by seeing symptoms perceived symptoms.Expert systems are one of the most used artificial intelligence techniques today because expert systems can act as consultations. In this case the authors make a system to start a diagnosis process with variable centered intelligent rule system (VCIRS) methods through perceived symptoms.With the facilities provided for users and administrators, allowing both users and administrators to use this system according to their individual needs. This expert system is made with the Microsoft Visual Basic 2008 programming language.Keywords: Expert System, Mayora Virus, Variable Centered Intelligent Rule System (VCIRS)

An expert system for real-time well field management

2012 ◽  
Vol 12 (5) ◽  
pp. 699-706 ◽  
Author(s):  
B. S. Marti ◽  
G. Bauser ◽  
F. Stauffer ◽  
U. Kuhlmann ◽  
H.-P. Kaiser ◽  
...  
Keyword(s):  
Drinking Water ◽  
Expert System ◽  
Knowledge Base ◽  
Real Time ◽  
Urban Areas ◽  
Industrial Sites ◽  
Water Wells ◽  
Well Field ◽  
Field Management ◽  
Historical Management

Well field management in urban areas faces challenges such as pollution from old waste deposits and former industrial sites, pollution from chemical accidents along transport lines or in industry, or diffuse pollution from leaking sewers. One possibility to protect the drinking water of a well field is the maintenance of a hydraulic barrier between the potentially polluted and the clean water. An example is the Hardhof well field in Zurich, Switzerland. This paper presents the methodology for a simple and fast expert system (ES), applies it to the Hardhof well field, and compares its performance to the historical management method of the Hardhof well field. Although the ES is quite simplistic it considerably improves the water quality in the drinking water wells. The ES knowledge base is crucial for successful management application. Therefore, a periodic update of the knowledge base is suggested for the real-time application of the ES.

Creating a Knowledge Base for a Mivar Expert System for the Diagnosis of Diabetes Mellitus

2021 ◽  
Vol 54 (6) ◽  
pp. 421-424
Author(s):  
H. Kim ◽  
D. A. Chuvikov ◽  
D. V. Aladin ◽  
O. O. Varlamov ◽  
L. E. Adamova ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Expert System ◽  
Knowledge Base ◽  
Diagnosis Of Diabetes Mellitus

scholarly journals Diagnostics and Prognostics of Energy Conversion Processes via Knowledge-Based Systems

Proceedings ◽  
2020 ◽  
Vol 58 (1) ◽  
pp. 1
Author(s):  
Roberto Melli ◽  
Enrico Sciubba
Keyword(s):  
Expert System ◽  
Knowledge Base ◽  
Real Time ◽  
System Analysis ◽  
Intelligent System ◽  
Time Derivative ◽  
Time History ◽  
Control Procedure ◽  
Time Data ◽  
Ongoing Research

This paper presents a critical and analytical description of an ongoing research program aimed at the implementation of an expert system capable of monitoring, through an Intelligent Health Control procedure, the instantaneous performance of a cogeneration plant. The expert system is implemented in the CLIPS environment and is denominated PROMISA as the acronym for Prognostic Module for Intelligent System Analysis. It generates, in real time and in a form directly useful to the plant manager, information on the existence and severity of faults, forecasts on the future time history of both detected and likely faults, and suggestions on how to control the problem. The expert procedure, working where and if necessary with the support of a process simulator, derives from the available real-time data a list of selected performance indicators for each plant component. For a set of faults, pre-defined with the help of the plant operator (Domain Expert), proper rules are defined in order to establish whether the component is working correctly; in several instances, since one single failure (symptom) can originate from more than one fault (cause), complex sets of rules expressing the combination of multiple indices have been introduced in the knowledge base as well. Creeping faults are detected by analyzing the trend of the variation of an indicator over a pre-assigned interval of time. Whenever the value of this ‘‘discrete time derivative’’ becomes ‘‘high’’ with respect to a specified limit value, a ‘‘latent creeping fault’’ condition is prognosticated. The expert system architecture is based on an object-oriented paradigm. The knowledge base (facts and rules) is clustered—the chunks of knowledge pertain to individual components. A graphic user interface (GUI) allows the user to interrogate PROMISA about its rules, procedures, classes and objects, and about its inference path. The paper also presents the results of some simulation tests.

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