Database Design of Failure Diagnosis Expert System for Combustion Engine

2012 ◽  
Vol 220-223 ◽  
pp. 1783-1786
Author(s):  
Yong Liu ◽  
Sai Fei Zhang
Keyword(s):  
Expert System ◽  
Knowledge Base ◽  
Design Process ◽  
Combustion Engine ◽  
Database Design ◽  
Failure Diagnosis ◽  
Program Code ◽  
Implementation Method ◽  
Design Ideas ◽  
Code Book

The database design process for failure diagnosis expert system is divided into two parts. One part is, in the knowledge base, we mainly introduce design ideas of each maintaining module of in knowledge base, including the implementation method for entry, retrieval, modification and inquiring function interface of knowledge. Another part is dynamic database. We mainly introduce the modules of specific design process for data transmission. The entire system realize by C++Builder language. And the detailed codes of database are written into the program code book.

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 PEER DESIGNERS AS STRONG INFLUENCERS ON THE DESIGN PROCESS OF FOOD STARTUPS

2021 ◽  
Vol 1 ◽  
pp. 2409-2418
Author(s):  
Summer D. Jung ◽  
Erika Perttunen ◽  
Senni Kirjavainen ◽  
Tua Björklund ◽  
Sohyeong Kim
Keyword(s):  
Design Process ◽  
Qualitative Data ◽  
Design Research ◽  
Positive Impact ◽  
Peer Influences ◽  
Design Team ◽  
Food And Beverage ◽  
Design Ideas ◽  
Different Sources ◽  
Positive Effect

AbstractAs design research expands its horizon, there has been a recent rise in studies on nontraditional designers. Previous studies have noted the positive effect of diversity in generating ideas. Among different sources of influence, peers outside the design team have been noted for their positive impact on the design process, yet the research on this topic is still in its early stages. Using qualitative data from 40 small and medium-sized enterprises (SMEs) in the American and Finnish food and beverage industries, the current study examines their interactions with other SMEs, shedding light on the influence of peers on creating new design solutions. The findings suggest that peer companies can act as a frequent and impactful source of inspiration for product design ideas. The most prevalent forms of interaction were co-creating products, sharing information, and sharing ingredients. Furthermore, the interactions were voluntary, organic, and improvisational in nature, and physical proximity or previous connections often initiated the interactions. Taken together, a great number of peer influences contributed towards creative new solutions.

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.

A generalized expert system for database design

1989 ◽  
Vol 15 (4) ◽  
pp. 479-491 ◽  
Author(s):  
A. Dogac ◽  
B. Yuruten ◽  
S. Spaccapietra
Keyword(s):  
Expert System ◽  
Database Design
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