Engineering Intelligent Systems for Electrical Engineering and Communications最新文献_第5页

Automating the FMEA process 自动化FMEA过程

Engineering Intelligent Systems for Electrical Engineering and Communications Pub Date : 1993-12-01 DOI: 10.1049/ISE.1993.0012

J. Hunt, C. Price, Mark Lee

{"title":"Automating the FMEA process","authors":"J. Hunt, C. Price, Mark Lee","doi":"10.1049/ISE.1993.0012","DOIUrl":"https://doi.org/10.1049/ISE.1993.0012","url":null,"abstract":"Failure mode and effects analysis (FMEA) is a design analysis procedure involving the investigation and assessment of the effects of all possible failure modes on a system. This kind of analysis is of growing importance in the automotive, aerospace and other advanced manufacturing industries, where increasingly complex electrical, electronic and mechanical systems are being combined in safety-critical applications. FMEA is an extremely tedious process because it demands detailed and systematic examination of the operation of all aspects of the design. However, this work must be carried out by professional engineers as it requires extensive experience of the domain. These two factors, painstaking work and expert judgment, indicate the great benefits that automated help will provide for design engineers. This paper describes a program which automates the prediction of the effect of failure modes for electrical systems. This is the most challenging task in FMEA and can only be fully achieved by integrating multiple models in a distributed reasoning architecture. The architecture is open-ended, and the paper shows how the program can be extended to encompass the full FMEA process. >","PeriodicalId":55165,"journal":{"name":"Engineering Intelligent Systems for Electrical Engineering and Communications","volume":"10 1","pages":"119-132"},"PeriodicalIF":0.0,"publicationDate":"1993-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80280649","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 37

A model-based system for the classification and analysis of materials 基于模型的材料分类和分析系统

Engineering Intelligent Systems for Electrical Engineering and Communications Pub Date : 1993-12-01 DOI: 10.1049/ISE.1993.0014

A. Capelo, L. Ironi, S. Tentoni

{"title":"A model-based system for the classification and analysis of materials","authors":"A. Capelo, L. Ironi, S. Tentoni","doi":"10.1049/ISE.1993.0014","DOIUrl":"https://doi.org/10.1049/ISE.1993.0014","url":null,"abstract":"To build model-based systems capable of emulating the scientist's or engineer's way of reasoning about a given physical domain requires methods for automating the formulation or selection of a model which adequately captures the knowledge needed for solving a specific problem. To find and exploit such models requires the use and integration of different kinds of knowledge, formalisms and methods. This paper describes a system which aims at reasoning automatically about visco-elastic materials from a mechanical point of view. It integrates both domain-specific and domain-independent knowledge in order to classify and analyse the mechanical behaviour of materials. The classification task is based on qualitative knowledge, whereas the analysis of a material is performed at a quantitative level and is based on numerical simulation. The key ideas of the work are to automatically generate a library of models of ideal materials and their corresponding qualitative responses to standard experiments; to classify an actual material by selecting from within the library a class of models whose simulated qualitative behaviours towards standard loads match the observed behaviours; to identify a quantitative model of the material, and then to analyse the material by simulating its behaviour on any load. Each model in the library is automatically generated in two different forms; at the lowest level, as a symbolic description and, at a mathematical level, as an ordinary differential equation. This paper mainly concentrates on the methods and algorithms of model generation and qualitative simulation. >","PeriodicalId":55165,"journal":{"name":"Engineering Intelligent Systems for Electrical Engineering and Communications","volume":"167 1","pages":"145-158"},"PeriodicalIF":0.0,"publicationDate":"1993-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75088491","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 12

Engineering Systems with Intelligence: Concepts, Tools and Applications 智能工程系统:概念、工具和应用

Engineering Intelligent Systems for Electrical Engineering and Communications Pub Date : 1993-01-01 DOI: 10.1049/ISE.1993.0023

R. Mitchell

引用次数: 7

Techniques in Computational Learning—an Introduction 计算学习技术导论

Engineering Intelligent Systems for Electrical Engineering and Communications Pub Date : 1993-01-01 DOI: 10.1049/ISE.1993.0024

H. Cather

引用次数: 11

Artificial Intelligence in Design '92 设计中的人工智能'92

Engineering Intelligent Systems for Electrical Engineering and Communications Pub Date : 1993-01-01 DOI: 10.1049/ise.1993.0022

P. Deasley

引用次数: 16

Device modelling environment: an interactive environment for modelling device behaviour 设备建模环境:为设备行为建模的交互式环境

Engineering Intelligent Systems for Electrical Engineering and Communications Pub Date : 1992-12-01 DOI: 10.1049/ISE.1992.0012

C. Low, Y. Iwasaki

引用次数: 24

Knowledge-based support systems for uncertain complex tasks 不确定复杂任务的知识支持系统

Engineering Intelligent Systems for Electrical Engineering and Communications Pub Date : 1992-12-01 DOI: 10.1049/ISE.1992.0010

D. O. Williams, J. Boyle

引用次数: 0

Two laws of design 设计的两大法则

Engineering Intelligent Systems for Electrical Engineering and Communications Pub Date : 1992-12-01 DOI: 10.1049/ISE.1992.0013

S. Dasgupta

引用次数: 6

Analysis and synthesis of an intelligent control system based on fuzzy logic and the PID principle 基于模糊逻辑和PID原理的智能控制系统的分析与综合

Engineering Intelligent Systems for Electrical Engineering and Communications Pub Date : 1992-12-01 DOI: 10.1049/ISE.1992.0014

Peng Wang, D. P. Kwok

引用次数: 17

GRATE: a general framework for co-operative problem solving 栅格:合作解决问题的一般框架

Engineering Intelligent Systems for Electrical Engineering and Communications Pub Date : 1992-12-01 DOI: 10.1049/ISE.1992.0011

N. Jennings, E. Mamdani, I. Laresgoiti, J. Perez, J. Corera

{"title":"GRATE: a general framework for co-operative problem solving","authors":"N. Jennings, E. Mamdani, I. Laresgoiti, J. Perez, J. Corera","doi":"10.1049/ISE.1992.0011","DOIUrl":"https://doi.org/10.1049/ISE.1992.0011","url":null,"abstract":"As the deployment of expert systems has spread into more complex and sophisticated environments, so inherent technological limitations have been observed. As a technique for overcoming this complexity barrier, researchers have started to build systems composed of multiple, cooperating components. These systems tend to fall into two distinct categories: systems which solve a particular problem, such as speech recognition or vehicle monitoring, and systems which are general to some extent. GRATE is a general framework which enables an application builder to construct multi-agent systems for the domain of industrial process control. Unlike other cooperation frameworks, GRATE embodies a significant amount of inbuilt knowledge related to cooperation and control which can be utilised during system building. This approach offers a paradigm shift for the construction of multi-agent systems in which the role of configuring preexisting knowledge becomes an integral component. Rather than starting from scratch the designer can utilise the inbuilt knowledge and augment it, if necessary, with domain specific information. The GRATE architecture has a clear separation of concerns and has been applied to real-world problems in the domains of electricity transportation management and diagnosis of a particle accelerator beam controller.","PeriodicalId":55165,"journal":{"name":"Engineering Intelligent Systems for Electrical Engineering and Communications","volume":"26 1","pages":"102-114"},"PeriodicalIF":0.0,"publicationDate":"1992-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82187536","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 61