Proceedings of IEEE International Conference on Industrial Technology 2000 (IEEE Cat. No.00TH8482)最新文献_第5页

Development of a simple analog controller for switched reluctance motor 开关磁阻电机简易模拟控制器的研制

Proceedings of IEEE International Conference on Industrial Technology 2000 (IEEE Cat. No.00TH8482) Pub Date : 2000-01-19 DOI: 10.1109/ICIT.2000.854235

V. Sharma, B. Singh, S. Murthy

引用次数: 1

On the performance evaluation of hybrid-trained neural classifier for the detection of hazardous vapours using responses from SAW sensors array 基于声表面波传感器阵列响应的混合训练神经分类器检测有害气体的性能评价

Proceedings of IEEE International Conference on Industrial Technology 2000 (IEEE Cat. No.00TH8482) Pub Date : 2000-01-19 DOI: 10.1109/ICIT.2000.854246

Amit Kumar Srivastava, S. K. Srivastava, K. Shukla

{"title":"On the performance evaluation of hybrid-trained neural classifier for the detection of hazardous vapours using responses from SAW sensors array","authors":"Amit Kumar Srivastava, S. K. Srivastava, K. Shukla","doi":"10.1109/ICIT.2000.854246","DOIUrl":"https://doi.org/10.1109/ICIT.2000.854246","url":null,"abstract":"A neural classifier has been designed by a new two-phase hybrid training algorithm introduced by us for classification of hazardous vapours. The neural network is trained using genetic algorithm in initial phase. This is followed by a second phase of backpropagation training that uses weight matrix determined by first phase for initialization. For establishing the superior performance of our classifier, published data from polymer-coated surface-acoustic wave (SAW) sensors array exposed to varying concentration of each of nine vapours belonging to two different classes have been used. Vapours of class I are toxic vapours of interest in ambient air that contains common interferents (class II vapours) at much higher concentration. Performance of the classifier is evaluated by reducing dimensionality of resulting data matrix from 4 to 1 by taking a different set of sensors. We show that as the dimension is reduced, the gas identification problem becomes harder for backpropagation. Whereas the same set of problems when solved using a genetic algorithm with heuristic switch over to backpropagation as a training paradigm, significantly better results are obtained in predicting class and type of test vapours.","PeriodicalId":405648,"journal":{"name":"Proceedings of IEEE International Conference on Industrial Technology 2000 (IEEE Cat. No.00TH8482)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2000-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126934995","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

New energy efficient drive for 2 phase induction motor with minimum switching losses 新型节能驱动的2相感应电机与最小的开关损耗

Proceedings of IEEE International Conference on Industrial Technology 2000 (IEEE Cat. No.00TH8482) Pub Date : 2000-01-19 DOI: 10.1109/ICIT.2000.854119

B. Chaudhari, S. Wekhande, S. Dambhare, S. S. Dhamse

引用次数: 0

Teleoperation controller design using hierarchical genetic algorithm 基于层次遗传算法的遥控控制器设计

Proceedings of IEEE International Conference on Industrial Technology 2000 (IEEE Cat. No.00TH8482) Pub Date : 2000-01-19 DOI: 10.1109/ICIT.2000.854256

K. Tang, K. Man, R. Istepanian

引用次数: 10

Generic modeling of manufacturing processes using Petri nets for concurrent engineering 基于Petri网的并行工程制造过程通用建模

Proceedings of IEEE International Conference on Industrial Technology 2000 (IEEE Cat. No.00TH8482) Pub Date : 2000-01-19 DOI: 10.1109/ICIT.2000.854157

L. Horváth, J. K. Tar, I. Rudas, H. Shamsudin

{"title":"Generic modeling of manufacturing processes using Petri nets for concurrent engineering","authors":"L. Horváth, J. K. Tar, I. Rudas, H. Shamsudin","doi":"10.1109/ICIT.2000.854157","DOIUrl":"https://doi.org/10.1109/ICIT.2000.854157","url":null,"abstract":"The main essence of the paper is an introduction of an application of Petri net model entity representations in concurrent engineering processes. Characteristics of the proposed modeling include feature based and multiple leveled model structure, generic model entities and integrated modeling approach. The authors have developed a manufacturing process modeling approach and methodology that is suitable for continuous modification of part manufacturing processes on the basis of messages about changes of part models and other conditions. Generic manufacturing models involve variants. Entities in the model are represented by Petri nets that can be repeatedly executed for changed conditions. The method assumes a reorderable form feature based part model. The paper is organized as follows. Firstly the related and actual issues of concurrent engineering and their relations process modeling are outlined. Following this, the proposed approach and the methodology of integration feature based part models with part manufacturing models are explained. Next application of the proposed integrated modeling in concurrent engineering processes is detailed. Finally, possible benefits of the proposed model in present day modeling are concluded.","PeriodicalId":405648,"journal":{"name":"Proceedings of IEEE International Conference on Industrial Technology 2000 (IEEE Cat. No.00TH8482)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2000-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131935072","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

A PC-based hardware and software design for a direct torque and flux controlled induction motor drive system 基于pc的直接转矩和磁链控制感应电机驱动系统的硬件和软件设计

Proceedings of IEEE International Conference on Industrial Technology 2000 (IEEE Cat. No.00TH8482) Pub Date : 2000-01-19 DOI: 10.1109/ICIT.2000.854091

A. Tripathi, S.P. Das

引用次数: 0

Learning obstacle avoidance reflex behavior for autonomous navigation from hand-drawn trajectories 基于手绘轨迹的自主导航避障反射行为学习

Proceedings of IEEE International Conference on Industrial Technology 2000 (IEEE Cat. No.00TH8482) Pub Date : 2000-01-19 DOI: 10.1109/ICIT.2000.854097

R. Chatterjee, F. Matsuno

{"title":"Learning obstacle avoidance reflex behavior for autonomous navigation from hand-drawn trajectories","authors":"R. Chatterjee, F. Matsuno","doi":"10.1109/ICIT.2000.854097","DOIUrl":"https://doi.org/10.1109/ICIT.2000.854097","url":null,"abstract":"The present work explores a simple off-line method to extract the intuitive actions used by humans to avoid obstacles during motion in unknown environments. The proposed method analyzes the hand drawn trajectories by human individuals on environment maps showing typical obstacle placements, and evaluates the navigational decision parameters. The translation and steering velocity variation along the curve are computed based on the constraints of the mobile entity (e.g., an autonomous mobile robot). The decisions are considered to be taken in the context of the distances of the obstacles around the current point on the trajectory. The instances of environmental situations and corresponding intended actions are used to train a neural network. To reduce the complexity of the network, the number of input variables for the network is reduced by considering only single sided reflex behaviors. The left-right symmetry of the perception-action behaviors allows the single sided reflex network to be used for both left and right hand side reflex in the vicinity of obstacles. Simulation results are presented to show the effectiveness of the proposed strategy in typical obstacle situations.","PeriodicalId":405648,"journal":{"name":"Proceedings of IEEE International Conference on Industrial Technology 2000 (IEEE Cat. No.00TH8482)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2000-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133984501","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: 1

Optimization of hot extrusion using single objective neuro stochastic search technique 基于单目标神经随机搜索技术的热挤压优化

Proceedings of IEEE International Conference on Industrial Technology 2000 (IEEE Cat. No.00TH8482) Pub Date : 2000-01-19 DOI: 10.1109/ICIT.2000.854248

K. Hans Raj, R.S. Sharma, S. Srivastava, C. Patvardhan

{"title":"Optimization of hot extrusion using single objective neuro stochastic search technique","authors":"K. Hans Raj, R.S. Sharma, S. Srivastava, C. Patvardhan","doi":"10.1109/ICIT.2000.854248","DOIUrl":"https://doi.org/10.1109/ICIT.2000.854248","url":null,"abstract":"This paper presents a new single-objective neuro-stochastic search technique (SONSST) for the economic load estimation problem in hot extrusion which is often used to produce long straight metal products of constant cross-sections such as bars, solid and hollow sections, tubes, wires and strips from materials that cannot be formed by cold extrusion. The shape of the dies and the temperature developed during extrusion and the velocity of the dies significantly influence forging force at which the process is to be carried out. In order to understand the complex relationship between the material and process variables, a few finite element models are developed and simulated in the FORGE2 environment. These finite element simulations are used to train a neural network (NN) model. Later the same model is incorporated along with a genetic algorithm (GA) and simulated annealing (SA) to form SONSST. It incorporates a genetic crossover operator BLX-/spl alpha/ and a problem specific mutation operator incorporating a local search heuristic: to provide it a better search capability. Extensive simulations have been carried out considering various aspects and the results are validated with those of the existing finite element method in the literature. These results indicate that the new SONSST heuristic converges to better solutions rapidly. SONSST is a truly single-objective technique as it provides the values of various process parameters for optimizing single objective (extrusion load), in a single run and thus assists in achieving energy and material saving, quality improvement and in the development of sound extruded parts.","PeriodicalId":405648,"journal":{"name":"Proceedings of IEEE International Conference on Industrial Technology 2000 (IEEE Cat. No.00TH8482)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2000-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129200108","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: 2

An evolutionary approach to optimize speed controller of DC machines 一种优化直流电机速度控制器的进化方法

Proceedings of IEEE International Conference on Industrial Technology 2000 (IEEE Cat. No.00TH8482) Pub Date : 2000-01-19 DOI: 10.1109/ICIT.2000.854251

S. Chowdhuri, A. Mukherjee

引用次数: 8

Long-term generation expansion planning employing dynamic programming and fuzzy techniques 采用动态规划和模糊技术的长期发电扩展规划

Proceedings of IEEE International Conference on Industrial Technology 2000 (IEEE Cat. No.00TH8482) Pub Date : 2000-01-19 DOI: 10.1109/ICIT.2000.854244

C. Su, Guor-Rurng Lii, Jiann-Jung Chen

{"title":"Long-term generation expansion planning employing dynamic programming and fuzzy techniques","authors":"C. Su, Guor-Rurng Lii, Jiann-Jung Chen","doi":"10.1109/ICIT.2000.854244","DOIUrl":"https://doi.org/10.1109/ICIT.2000.854244","url":null,"abstract":"This research proposes a new method for long-term generation expansion planning. The method adopts a multi-aspect optimal approach which considers the capital cost of the newly added units, the maintenance and fuel costs, environmental impact, reliability, etc. To accommodate the growth of power load, the generation capacity needs to expand to meet the load demand. In order to find an optimal alternative to increase the generation capacity and satisfy different constraints economically and efficiently, the optimization technique is employed. The dynamic programming (DP) as the optimization method is used in this study. Since the requirements of environmental standard and power quality are getting more and more strict, economical factors are no more the unique one to weigh for the generation expansion planning. The environmental protection and reliability are also important factors of the problem. However, types of pollution are very complicated and are not easy to incorporate into the solution model. In this research, we apply the fuzzy theory to represent the state of pollution and judge if a combination of investment is acceptable or not. Moreover by employing the fuzzy technique, we can delete a lot of unnecessary paths and states to reduce the computation burden of DP. Finally we use an example to illustrate and prove the applicability and validity of the presented approach.","PeriodicalId":405648,"journal":{"name":"Proceedings of IEEE International Conference on Industrial Technology 2000 (IEEE Cat. No.00TH8482)","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2000-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116018921","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: 32