Third International Conference on Industrial Fuzzy Control and Intelligent Systems最新文献_第5页

Comparison between a neural fuzzy system- and a backpropagation-based fault classifiers in a power controller 基于神经模糊系统和反向传播的电源控制器故障分类器的比较

Third International Conference on Industrial Fuzzy Control and Intelligent Systems Pub Date : 1993-12-01 DOI: 10.1109/IFIS.1993.324221

C.C. Li, C.-H.“John” Wu

{"title":"Comparison between a neural fuzzy system- and a backpropagation-based fault classifiers in a power controller","authors":"C.C. Li, C.-H.“John” Wu","doi":"10.1109/IFIS.1993.324221","DOIUrl":"https://doi.org/10.1109/IFIS.1993.324221","url":null,"abstract":"A real-time neural fuzzy (NF) power control system is developed and compared with a backpropagation neural network (BNN) system. The objective is to develop computation hardware and software in order to implement the fault classification of a three-phase motor in real-time response. With online training capability, the NF system can be adaptive to the particular characteristics of a particular motor and can be easily modified for the customer's needs in the future. The preprocessing of a BNN-based fault classifier normalizes the magnitude between [-1,1] and transforms the number of samples to 32 for a cycle of waveform. The trained BNN is used to classify faults from the input waveforms. Real-time response is achieved through the use of a parallel processing system and the partition of the computation into parallel processing tasks. Compared with a four-processor BNN system, the NF system requires smaller cost (three processors) and recognizes waveforms faster. Moreover, with the appropriate feature extraction, the NF system can recognize temporally variant spike and chop occurring within a sin waveform.<<ETX>>","PeriodicalId":408138,"journal":{"name":"Third International Conference on Industrial Fuzzy Control and Intelligent Systems","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1993-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133584267","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: 0

Optimization of fuzzy behavior-based robots navigation in partially known industrial environments 部分已知工业环境下基于模糊行为的机器人导航优化

Third International Conference on Industrial Fuzzy Control and Intelligent Systems Pub Date : 1993-12-01 DOI: 10.1109/IFIS.1993.324215

M. García-Alegre, A. Ribeiro, J. Gasós, J. Salido

引用次数: 17

A fuzzy logic expert system for detecting generator H/sub 2/ leaks 发电机H/sub /泄漏检测的模糊逻辑专家系统

Third International Conference on Industrial Fuzzy Control and Intelligent Systems Pub Date : 1993-12-01 DOI: 10.1109/IFIS.1993.324190

H. Muller, R. Rehbold, H. Emshoff

{"title":"A fuzzy logic expert system for detecting generator H/sub 2/ leaks","authors":"H. Muller, R. Rehbold, H. Emshoff","doi":"10.1109/IFIS.1993.324190","DOIUrl":"https://doi.org/10.1109/IFIS.1993.324190","url":null,"abstract":"We describe the results of a cooperation between the Siemens Power Generation Group and Siemens R&D to develop a program for detecting H/sub 2/ leaks from the generator. This program is part of the comprehensive DIGEST (Diagnostic Expert System for Turbomachinery) analysis and diagnostics system for steam turbine generators in power plants. This modular system comprises algorithmically oriented design and analysis procedures with the knowledge based diagnostics modules based chiefly on the experience accumulated by experts over many years. The latter is characterized by an initially incomplete knowledge base which is then expanded and stabilized by the experience gained in operation. A further problem for this system is that this knowledge is not formalized, but rather is available only as rules formulated in natural language. This manner of expression, which is adequate for experts, implies the imprecision and indistinctness inherent in natural language. The complexity of the problem, the necessity for developing a knowledge base step-by-step and the requirement to express imprecise knowledge all lead to the decision to implement an expert system based on fuzzy logic.<<ETX>>","PeriodicalId":408138,"journal":{"name":"Third International Conference on Industrial Fuzzy Control and Intelligent Systems","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1993-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131654746","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: 5

Statistical data pre-processing for fuzzy modeling of semiconductor manufacturing process 半导体制造过程模糊建模的统计数据预处理

Third International Conference on Industrial Fuzzy Control and Intelligent Systems Pub Date : 1993-12-01 DOI: 10.1109/IFIS.1993.324224

R.L. Chen, C. Spanos

引用次数: 2

Hybrid ellipsoidal learning and fuzzy control for platoons of smart cars 智能汽车队列的混合椭球学习与模糊控制

Third International Conference on Industrial Fuzzy Control and Intelligent Systems Pub Date : 1993-12-01 DOI: 10.1109/IFIS.1993.324213

Julie A. Dickerson, Hyun Mun Kim, B. Kosko

引用次数: 2

Fuzzy satisfiability 模糊的可满足性

Third International Conference on Industrial Fuzzy Control and Intelligent Systems Pub Date : 1900-01-01 DOI: 10.1109/IFIS.1993.324182

S. Sudarsky

引用次数: 5

A fuzzy logic inference processor 一种模糊逻辑推理处理器

Third International Conference on Industrial Fuzzy Control and Intelligent Systems Pub Date : 1900-01-01 DOI: 10.1109/IFIS.1993.324186

J. Fattaruso, S. Mahant-Shetti, J. Brock Barton

引用次数: 28