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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:智能诊断方案适用于模型混合能源发电系统的软故障要求:FDI新型策略

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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:本文是在若干作者发布的关于混合发电系统的实际主题中发表的若干文章中开发的几种改进的初步版本。混合系统采用1个航空发电机系统实现,1个与1个发电机连接的斯特林电机,一个太阳能套件和电池系统库,用于将能量转换为受控负载系统。主要贡献是使用故障检测和隔离(F.D.I.)架构来获得智能诊断方案使用计算设备描述。 MATLAB环境,其中算法编码并使用N.I使用LabView连接。 DAQ提出了由F.D.I获得的结果。结构体。该模型在正常功能中和存在故障时进行评估,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的新型高效能量结构中开发的。潜在的最终用户是测试奥迪实验室中心的银行。

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