Computer assisted learning in power system relaying

A computer package developed for power system protection design is used to teach protection coordination at City University, London. Examples of package use and experience gained from computer assisted learning in this subject are described. The simulation of protection systems gives students an opportunity to observe the actions of each device after they complete their protection schemes. In order to preserve flexibility within this self-learning environment, an expert system is included in the package. The use of an expert system is to make learning as effective as possible by providing guidance on the teaching material. It plays its role only if it is invoked. In other words, the expert system does not supervise learning, but can provide the necessary guidance if a request is made. If there is any error, the result of the simulation will also show the nature of the problem. The debugging function can help the students to detect the errors they have made and know how the devices work in the power system. The potential of a well-designed computer package is not only to strengthen teaching and learning, but also lead to creative contributions to the educational process. This benefit is not available through traditional lectures and textbooks     

A knowledge based tutoring system for teaching fault analysis

A knowledge based tutoring system is used to support the education of power engineering students. The aim of this project is to make teaching and learning more productive and efficient by employing modern technologies. It seeks to find new methods to teach large numbers of students with no increase in staff. The tutoring system is based on an expert system shell. It provides a functionally interacting set of theory and problems, and supports student progress through monitoring and assessment. This paper describes the development of the tutoring system for teaching electrical engineering subjects, and in particular, fault analysis in power systems. The expert system based software has been successfully used by power engineering students. They found this software easy to use and understand, and it has become an extra teaching tool     

一种基于通用专家系统和模糊约束的制订发电机检修计划的方法

本文提出一种基于专家系统和模糊约束的制订发电检修计划的方法。作者导出了一个具有可用于不同电力系统的通用结构的专家系统，此专家系统的规则可用于确定发电机检修的顺序及处理ＧＭＳ问题的约束条件。为获得更灵活和更合理的ＧＭＳ的解，有些约束的边界条件是以它们的模糊录属函数来处理的。借助于本文提出的专家系统结构，可以方便地由不同的用户自己来构成不同的专家系统。对具有５５台发电机和检修期为一年的实际情况，ＰＣ机     

Cooperative electronic learning in virtual laboratories through forums

The student-centered teaching paradigm focuses on students engaged in learning high-order skills. Pedagogical research results suggest that the use of active learning within a cooperative environment is the best way to obtain these skills. In this context, the use of the Internet for these educational purposes-a concept known as electronic learning-can eliminate the physical barriers to cooperative learning. However, the implementation of such an electronic learning environment is often attempted using ad-hoc strategies that considerably limit its final impact and applicability. This work demonstrates how to design cooperative learning activities on the Internet by using basic principles derived from contemporary pedagogical research results. These activities were successfully applied in the context of forums repeated twice in two years in an artificial neural networks laboratory belonging to an engineering program.     

A virtual classroom approach to teaching circuit analysis

We have implemented several innovative uses of computers and computer networks to develop a new pedagogy for the delivery of university engineering courses. These uses of computers and networks are creating efficiencies in the learning process, and students have found this interactive learning environment to be a significant improvement upon a traditional engineering course. Student performance and retention, as well as faculty productivity, are increased in this innovative teaching and learning environment     

电源规划模型及求解方法研究综述

对传统的电源规划模型结合需求侧管理、考虑环境保护和电力市场环境下的电源规划模型进行了详细的研究,总结了实施需求侧管理、环境保护对电源规划的影响和电力市场改革对电源规划的新要求,分析了各种模型中电源规划目标函数和考虑约束条件的不同。然后将电源规划问题所采用的求解方法主要分为数学优化方法和人工智能方法进行归纳,包括动态优化法、混合整数规划法、专家系统、模糊理论、遗传算法和人工神经网络等,对比了各种方法的优缺点。最后阐述了当前电源规划过程中尚待深入研究的问题。     

电力系统自组织模糊神经网络稳定器

本文提出一种自组织模糊神经网络稳定器，首先根据专家经验知识构成稳定器模糊模型，然后用自组织模糊神经网络来表示这个模型，最后通过组织误差修正学习来实现模型的自适应过程，仿真试验表明它比普遍模型稳定器性能优且有较好的鲁棒性。     

神经网络在故障诊断中的应用

从神经网络充当广义模式匹配器进行故障诊断以及神经网络与基于模型故障诊断的融和两方面介绍了神经网络在故障诊断中的研究及应用现状。此外,还介绍了神经网络与模糊技术相结合以及神经网络与专家系统相结合而成的智能故障诊断系统。最后,探讨了神经网络故障诊断的新近发展趋势。     

智能化的短期负荷预测系统

应用模糊逻辑系统、人工神经网络和模糊专家系统等智能技术风云地某省电网设计出的具有自学习和自适应能力的短期负荷预测软件包,主要用于自负荷曲线的预测,指导生产计划制定和调度安排。该软件包是基于Ｗｉｎｄｏｗｓ的应用程序,具有开放式的结构和友好的人机界面。试用结果表明,该系统在进一步完善后,可望实际应用于地区和省网调度系统中。     

An interactive electronic book approach for teaching computer implementation of industrial control systems

There is an overall consensus on the importance of laboratory work that exposes the students to broader and more practical issues of industrial control systems, such as their implementation by distributed computer systems (DCSs) and programmable logic controllers (PLCs). However, setting up appropriate laboratory facilities to serve this purpose is expensive. For this reason, an interactive learning environment has been developed around the concept of the electronic book. The architecture of the environment allows the integration of hypertext with simulators of DCS, PLC, and process operation. The simulators are specially designed to serve an application-oriented teaching approach, which involves the student in the simulation setup and the running of the application. They are able to simulate not only the execution of the software that realizes the regulatory control algorithms but also the start-up and emergency control strategies of an industrial process, the manual, automatic, and cascade modes of controller operation, and the man-machine interface of a DCS- or PLC-based control system. The applications on which the teaching of DCS and PLC-based control system implementation is based are the interactive advanced control of a distillation column and the pH control of a reactor solution.     

Implementing CS1 with embedded instructional research design in laboratories

Closed laboratories are becoming an increasingly popular approach to teaching introductory computer science courses. Unlike open laboratories that tend to be an informal environment provided for students to practice their skills with attendance optional, closed laboratories are structured meeting times that support the lecture component of the course, and attendance is required. This paper reports on an integrated approach to designing, implementing, and assessing laboratories with an embedded instructional research design. The activities reported here are parts of a departmentwide effort not only to improve student learning in computer science and computer engineering (CE) but also to improve the agility of the Computer Science and Engineering Department in adapting the curriculum to changing technologies, incorporate research, and validate the instructional strategies used. This paper presents the design and implementation of the laboratories and the results and analysis of student performance. Also described in this paper is cooperative learning in the laboratories and its impact on student learning.     

机载电子设备故障诊断专家系统的设计与实现

针对航空机载电子设备故障知识日益膨胀导致的故障诊断系统效率低下、难以快速有效地进行电子装备维护的问题,提出了一种新的、基于专家系统的机载电子设备故障诊断系统。分析了专家系统的原理和结构,研究了一般产生式规则与模糊产生式规则相结合的知识表示方法及精确推理与模糊推理相结合、基于规则推理、案例推理、模型推理及混合推理的推理机制。以Delphi7．0和Oracle9i为开发环境,开发了该专家系统。系统能快速分析故障现象,列出可能的故障原因,输出故障报告,提供故障处理指导。研究表明,新系统具有更高的效率、并且诊断结论也更可靠、可维护性也更好,在实际的航空机务维护工作中取得了良好的效果。     

Transmission cost allocation by cooperative games and coalition formation

The allocation of costs of a transmission system to its users is still a pending problem in many electric sector market regulations. This paper contributes with a new allocation method among the electric market participants. Both cooperation and competition are defined as the leading principles to fair solutions and efficient cost allocation. The method is based mainly on the responsibility of the agents in the physical and economic use of the network, their rational behavior, the formation of coalitions, and cooperative game theory resolution mechanisms. The designed method is applicable to existing networks or to their expansion. Simulations are made with sample networks. Results conclude that adequate solutions are possible in a decentralized environment with open access to networks. Comparisons with traditional allocation systems are shown and cooperative game solutions compare better in economic and physical terms.     

神经元网络故障诊断技术的发展和应用

本文介绍了神经元网络故障诊断系统的基本特征,并着重阐述了神经元网络故障诊断专家系统的组成、结构和设计,最后概要介绍了模糊理论与神经元网络故障诊断系统的结合。     

Fuzzy set approach to the assessment of student-centered learning

Assessment of student learning is an important task in a teaching and learning process. It has a strong influence on students' approaches to learning and their outcomes. Development in tertiary education has shifted its emphasis from teacher-centered learning to student-centered learning. In a student-centered learning environment, criterion-referenced assessment techniques are often used in current education research and practice. However, it sometimes happens that the assessment criteria and their corresponding weights are solely determined by the lecturers in charge. This may reduce the interest of students' participation and lower the quality of their learning. This paper presents an integrated fuzzy set approach to assess the outcomes of student-centered learning. It uses fuzzy set principles to represent the imprecise concepts for subjective judgment and applies a fuzzy set method to determine the assessment criteria and their corresponding weights. Based on the commonly agreed assessment criteria, students' learning outcomes are evaluated on a fuzzy grade scale. The proposed fuzzy set approach incorporates students' opinions into assessment and allows them to have a better understanding on the assessment criteria. It aims at encouraging students to participate in the whole learning process and providing an open and fair environment for assessment     

Adaptive neuro-fuzzy inference system for the computation of the bandwidth of electrically thin and thick rectangular microstrip antennas

A new method based on the adaptive neuro-fuzzy inference system (ANFIS) for calculating the bandwidth of the rectangular microstrip antennas with thin and thick substrates is presented. The ANFIS is a class of adaptive networks which are functionally equivalent to fuzzy inference systems. It combines the powerful features of fuzzy inference systems with those of neural networks to achieve a desired performance. A hybrid learning algorithm based on the least square method and the backpropagation algorithm is used to identify the parameters of ANFIS. The bandwidth results obtained by using ANFIS are in excellent agreement with the experimental results available in the literature.     

Learning Log Explorer in E-Learning Diagnosis

This study presents a learning behavior diagnosis system to study students' learning status from learning portfolios. The proposed linking layer enables the proposed system to work on various e-learning platforms without reprogramming. Additionally, the use of a supervisory agent enables teachers and students to obtain their learning status or information provided by the proposed system in both Web and e-mail. Furthermore, the computer engineering curriculum operating systems was adopted to evaluate the proposed system. Evaluations of confidence between learning status and learning achievement yield positive experimental results.     

Development of peak load forecasting system using neural networks and fuzzy theory

This paper presents a peak load forecasting system using multilayer neural networks and fuzzy theory. Electric load forecasting in power systems is a very important task from the perspective of reliability and economic operation. Daily peak load forecasting is one of the basic operations of generation scheduling for the following day. Therefore, many statistical methods have been developed and used for such forecasting even though it has been difficult to construct a proper functional model. The developed system is applied by neural network and fuzzy theory to forecast for daily, weekly and monthly peak load. The system consists of an engineering workstation (EWS) and a personal computer (PC). The EWS is for learning and data-bases, and the PC is for man-machine interface such as forecasting operation. The system has been used since June 1993. The result evaluated with an absolute mean error is 1.63 percent for 10 months. From the results shown here, the system applied by neural network and fuzzy theory has high validity.     

Cooperative and progressive design experience for embedded systems

This paper describes a cooperative experiential learning activity to develop embedded systems design skills. Student teams design, build, and troubleshoot a microcontroller-based project composed of common embedded systems peripherals, including input/output and electromechanical devices, industry standard communication networks, and complex digital integrated circuits. The design experience is progressive, requiring each successive subsystem to be incorporated without disturbing previously completed subsystems. Furthermore, the design experience is based on a problem-based learning approach that motivates student learning and develops skills required by the student in a future professional capacity. These skills include designing to specification, use of third-party intellectual property, teamwork, communication, and lifelong learning skills. The design experience was offered to a cohort in conjunction with lectures using active learning techniques. Course evaluations were obtained from students and external reviewers, and the results show that the course was well received and achieved its educational objectives.