• Title/Summary/Keyword: expert systems

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Intelligent FMC Scheduling Utilizing Neural Network and Expert System (신경회로망과 전문가시스템에 의한 FMC의 지능형 스케쥴링)

  • 박승규;이창훈;김유남;장석호;우광방
    • Journal of Institute of Control, Robotics and Systems
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    • v.4 no.5
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    • pp.651-657
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    • 1998
  • In this study, an intelligent scheduling with hybrid architecture, which integrates expert system and neural network, is proposed. Neural network is trained with the data acquired from simulation model of FMC to obtain the knowledge about the relationship between the state of the FMC and its best dispatching rule. Expert system controls the scheduling of FMC by integrating the output of neural network, the states of FMS, and user input. By applying the hybrid system to a scheduling problem, the human knowledge on scheduling and the generation of non-logical knowledge by machine teaming, can be processed in one scheduler. The computer simulation shows that comparing with MST(Minimum Slack Time), there is a little increment in tardness, 5% growth in flow time. And at breakdown, tardness is not increased by expert system comparing with EDD(Earliest Due Date).

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Real Time Scheduling for Computer-Aided Manufacturing ( CAM ) Systems with Instance-Based Rules (CAM에서의 사례의존규칙을 이용한 실시간 일정계획)

  • Rhee, Jong-Tae
    • Journal of Korean Institute of Industrial Engineers
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    • v.17 no.2
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    • pp.63-74
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    • 1991
  • An expert scheduling system on real time basis for computer-aided manufacturing systems has been developed. In developing expert scheduling system, the most time-consuming job is to obtain rules from expert schedulers. An efficient process of obtaining rules directly form the schedules produced by expert schedulers is proposed. By the process, a set of complete and minimal set of rules is obtained. During a real time scheduling, when given information on possible values of elements, the rules produce possible values of decision elements, where logical explanations of the result may be offered in terms of chaining rules. The learning and scheduling processes have been simulated with an automated manufacturing line engaged in the production of circuit boards.

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Development of An Expert System to Decide the Resetting Area of Protective Distance Relay in Power Transmission Systems (송전계통 보호 거리계전기 재정정 영역 판정 전문가시스템 개발)

  • 최면송;민병운;김기화;현승호;이승재
    • The Transactions of the Korean Institute of Electrical Engineers A
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    • v.52 no.8
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    • pp.437-443
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    • 2003
  • In this paper an expert system is developed to decide the resetting area of protective devices in power transmission systems. A configuration change in power transmission networks from a substation extension such as new line or bus addition need resetting of protective devices around the point of configuration changes. To find the resetting area in complex power system is very difficult, especially when the distance protective relays are considered to be reset. The proposed expert system, in this paper to find the resetting area has many rules based on the changes of fault currents and apparent factors from the power system alteration. It solves the problem to find relay resetting area using the network information in the database and the rule-base. The case study shows a result of the problem to find relay resetting area in KEPCO system when there is any configuration change.

A Study on Fuzzy Expert System for the Fault Diagnosis of Hard Disk Drive Test System (Hard Disk Drive 검사 시스템의 고장 전단용 퍼지 전문가 시스템에 관한 연구)

  • Mun, Un-Cheol;Gwon, Hyeon-Tae;Nam, Chang-U
    • Proceedings of the KIEE Conference
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    • 2003.11c
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    • pp.625-628
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    • 2003
  • This paper proposes a fuzzy expert system for the fault diagnosis of Hard Disk Drive(HDD) test systems. The purposes of this system are diagnosis of HDD test systems, detection of system faults using test history, and presentation of the way of repair. Proposed Expert system is designed with Fuzzy logic and Binary Logic to present the way of repair using HDD tort result, HDD test history. The proposed system is simulated with actual data from SAMSUNG HDD product line in KUMI, KOREA, and show effective results.

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회전체 기계전단을 위한 Hybrid 진단 시스템

  • 박홍석;강신현;이재종
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 1995.10a
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    • pp.852-855
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    • 1995
  • In modern plant lndustry, dignosis system is an essential implement because a human operator cannot check the state of system all the time. The recent facility needs a computer system which is able to replace and extense the function of the human expert. Checking the state of the plant system, the computer system uses signals form sensors attached to the plant systems. But, It is difficult to predict the cause of the failure from the sensing signals. Because the relationship among the signals cannot be easily represented by mathematical models. So expert system based on a fuzzy rule and Neural network method is sugguested. Expert system decide whether aa state of the system is ordinary of failure by the evaluation of the signals. If the state of the system is unstable, expert system preprocess the signals. When fault is occurred in the machine, the expert system dignoses the state of the system and find the cause as a primary tool. If the expert system dose not find the adequate cause successfully, neural network system uses the preprocessed signals as an input and propose a cause of the failure.

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A Study on The Expert System for Finding Fault Section of Power System (전력계통의 고장점 판별에 대한 전문가 시스템 연구)

  • Kang, Dong-Ku;Kim, Jeong-Ha;Park, Kyu-Hong;Chung, Jai-Kil
    • Proceedings of the KIEE Conference
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    • 1995.07b
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    • pp.637-639
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    • 1995
  • Since power systems tend to be more large and complex, expert system substituted for the decision-making achieved by the power system operation expert is required. So far, expert system has been used for fault diagonosis and voltage-reactive power control and so on. In the expert system developed using 'C' language, the faulted element is estimated using the AND operation of lists which are acquired from the information on operated relays. It is also considered to identify the misoperation of protective devices using CF(Certainty Factor), and operation failure of those using the data base of parameter group list. The developed expert system is applied to a 6-bus sample system and through the case studies. It is shown that the expert system is very useful.

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Interpretation of a Model Output : Fuzzy Logic Approach

  • Yang, Kyung Hoon
    • Journal of the Korean Institute of Intelligent Systems
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    • v.3 no.2
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    • pp.36-44
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    • 1993
  • Not all business executives can afford the time or cost of having an expert interpret the output of management science models. They find these models perplexing because they are given in the form of numeric vectors or metrics. In this paper, we discuss the possibility of developing an expert system to assist managers' interpretation of the models' results. Having gained interpreting skills, these executive may integrate the system with commercial software.

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Expert Incubator Plans for e-Trade Activation in Gwangju-Chonnam Areas (광주.전남지역 전자무역 활성화를 위한 전문인력 양성방안)

  • Seo, Kab-Sung
    • International Commerce and Information Review
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    • v.6 no.2
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    • pp.129-146
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    • 2004
  • Nowadays, practical use of the internet is generalized in enterprise's business management as well as individual's everyday life. Also using internet, E-trade has given the very important meaning to company which do import and export as a part for extension of more opportunities and business scopes. In this study, I examined the actual conditions of industrial frame and information level in Gwangju Chonnam areas to achieve the easy and wide using of e-trade systems. Next, I examined the present condition and problem of education systems regarding e-trade expert incubator program of Gwangju Chonnam area. Finally, this study presented the successful cooperation model of Chosun university TI center in industrial section, educational section, and government section for more effective development systems of e-trade expert incubator program.

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Development of Optimal Design System for AS/RS with Different Sized Cells Using Expert Systems and Mathematical Models (전문가시스템과 수리모델을 이용한 이형랙을 가진 자동창고 최적 설계 시스템 개발)

  • Lee, Young-Hae;Jun, Seong-Jin
    • IE interfaces
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    • v.12 no.2
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    • pp.237-246
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    • 1999
  • The Automated Storage/Retrieval System(AS/RS) is very expensive to be built. But there are few tools available which can be used to design the storage systems optimally considering overall system building costs and constraints. In this paper, we propose a design support system for optimal design of AS/RS which includes different sized cells using expert systems and mathematical models considering customer's demands. The optimization models are to be used to minimize the total cost including building, equipment and operation costs. Expert system technique is utilized for using the experiences of skilled designers. By using the proposed system, AS/RS can be designed accurately, economically and efficiently.

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Development of OOKS : a Knowledge Base Model Using an Object-Oriented Database (객체지향 데이터베이스를 이용한 지식베이스 모형(OOKS) 개발)

  • 허순영;김형민;양근우;최지윤
    • Journal of Intelligence and Information Systems
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    • v.5 no.1
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    • pp.13-34
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    • 1999
  • Building a knowledge base effectively has been an important research area in the expert systems field. A variety of approaches have been studied including rules, semantic networks, and frames to represent the knowledge base for expert systems. As the size and complexity of the knowledge base get larger and more complicated, the integration of knowledge based with database technology cecomes more important to process the large amount of data. However, relational database management systems show many limitations in handing the complicated human knowledge due to its simple two dimensional table structure. In this paper, we propose Object-Oriented Knowledge Store (OOKS), a knowledge base model on the basis of a frame sturcture using an object-oriented database. In the proposed model, managing rules for inferencing and facts about objects in one uniform structure, knowledge and data can be tightly coupled and the performance of reasoning can be improved. For building a knowledge base, a knowledge script file representing rules and facts is used and the script file is transferred into a frame structure in database systems. Specifically, designing a frame structure in the database model as it is, it can facilitate management and utilization of knowledge in expert systems. To test the appropriateness of the proposed knowledge base model, a prototype system has been developed using a commercial ODBMS called ObjectStore and C++ programming language.

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