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Intelligent diagnosis scheme applied to model hybrid energy power generation system in presence of soft faults requirements: An FDI novel strategy

机译:存在软故障需求的智能诊断方案应用于混合能源发电系统建模:一种FDI新策略

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This article is a preliminary version of several improvements developed in last books and articles published by several authors in the actual theme of Scheduling for Hybrid Electrical Power Generation system. The hybrid system is implement using 1 aero-generator system, 1 stirling motor connected with 1 generator, one solar kit and a battery system bank to transfer the energy conversion a controlled load system. The principal contribution is to obtain the Intelligent Diagnosis Scheme using a Fault Detection and Isolation (F.D.I.) Architecture describe using a Computational Equipment. Matlab Environment where the algorithms were coded and linked using Labview with a N.I. DAQ presents the results obtained by the F.D.I. structure. The models are evaluated in normal function and in presence of faults to determine the relationship between them. The final application of this scheme is developed in the insertion of novel Efficient Energy structure in automotive architectures. The potential final user is to test banks for Audi Laboratory Centre.
机译:本文是在几本书的最后几本书和文章中开发的一些改进的初步版本,这些书籍和文章的作者以“混合动力发电系统的调度”的实际主题为主题。该混合动力系统是通过以下方式实现的:1个风力发电机系统,1个与1个发电机连接的斯特林电动机,一个太阳能套件和一个电池组,以将能量转换转换为受控负载系统。主要贡献是获得使用计算设备描述的故障检测和隔离(F.D.I.)体系结构来获得智能诊断方案。 Matlab Environment,其中使用Labview和N.I.对算法进行编码和链接DAQ展示了F.D.I.结构体。在正常功能和存在故障的情况下对模型进行评估,以确定它们之间的关系。该方案的最终应用是在汽车架构中插入新型高效能源结构而开发的。潜在的最终用户是为奥迪实验室中心测试银行。

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