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.

Ontology-Based Document Management System for Public Institutions

2014 ◽  
pp. 234-254
Author(s):  
Aurelia Pătraşcu ◽  
Ana Tănăsescu ◽  
Constanţa-Nicoleta Bodea ◽  
Patricia Ordoñez de Pablos
Keyword(s):  
Expert System ◽  
Knowledge Base ◽  
Open Source ◽  
Management System ◽  
Public Institutions ◽  
Town Planning ◽  
Document Management ◽  
Application Server ◽  
Expert System Shell ◽  
Document Management System

This chapter presents an ontology-based document management system developed for the Romanian public institutions. The system meets both general and specific requirements for this type of organization. The system has a three-tier architecture. FileZilla ftp server version 0.9.37 was used as application server. Jess Expert System Shell version 7.0p1 was the solution in developing knowledge base of the system and MySQL open-source server, version 5.0.51 is chosen for data tier. The system ontology is developed using the Protégé environment. The system is validated and deployed at Ploiesti City Hall. Employees from different departments (town planning, taxes etc.) working with the system provided validation information.

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 Systems for the Prediction of Ovulation: Comparison of an Expert System Shell (Expertech Xi Plus) with a Program Written in a Traditional Language (BASIC)

1990 ◽  
Vol 29 (02) ◽  
pp. 140-145 ◽  
Author(s):  
A. Schreiner ◽  
T. Chard
Keyword(s):  
Expert System ◽  
Expert Systems ◽  
Diagnostic Accuracy ◽  
Knowledge Base ◽  
Ease Of Use ◽  
User Friendliness ◽  
Patient Response ◽  
Memory Space ◽  
Computer Diagnosis ◽  
Expert System Shell

AbstractThe use of an expert system shell (EXPERTECH Xi Plus) in the construction of an expert system for the diagnosis of infertility has been evaluated. A module was devised for predicting ovulation from the medical history alone. Two versions of this system were constructed, one using the expert system shell, and the other using QuickBASIC. The two systems have been compared with respect to: (1) ease of construction; (2) ease of knowledge base update; (3) help and explanation facilities; (4) diagnostic accuracy; (5) acceptability to patients and clinicians; (6) user-friendliness and ease of use; (7) use of memory space; and (8) run time. The responses of patients and clinicians were evaluated by questionnaires. The predictions made by the computer systems were compared to the conclusions reached by clinicians and to the “gold standard” of day 21 progesterone.The conclusions of this pilot study are: (1) the construction of this expert system was NOT facilitated by the use of this expert system shell; (2) update of the knowledge base was not facilitated either; (3) the expert system shell offered built-in help and explanation facilities, but as the system increased in complexity these became less useful; (4) after initial adjustment of decision thresholds the diagnostic accuracy of the system equalled that of the clinician; (5) the patient response to computer history-taking was very favorable but much less favorable to computer diagnosis; (6) the clinicians took a positive attitude to computer diagnosis; (7) the systems were easy to use; (8) the expert systems shell required much more memory space and had a much slower response time than the system written in BASIC.

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.

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