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Graphical Analysis of Wind Turbine Dynamics trough SCADA Data Mining - (PPT)

机译:风力涡轮机动态槽SCADA数据挖掘的图解 - (PPT)

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摘要

The widespread diffusion of SCADA control systems in modern wind turbine technology has revolutionized the management of machine portfolios. Potentially, every wind farm owner can develop its own tools for performance evaluation, fault diagnosis and prevention, optimization. Wind technology in the age of information therefore faces the challenge of elaborating vast amounts of data, processing them into knowledge, visualizing them intuitively. Due to the stochastic nature of the source, this ambition lies at the crossroad of engineering, physics, statistics and computer science and has therefore stimulated considerable debate in the scientific literature and fruitful collaborations between academia and industry. In this study, a mathematical and graphical method is proposed for elaborating turbine state dynamics and SCADA measurements in a combined way. Its strength lies in intuitiveness and versatility: it can be be used for a bird's eye view on a portfolio of machines, for inquiring whether maintenance programs are been planned judiciously, for a first investigation on the reasons of faults, especially for SCADA systems which are poor in providing information to the farm owner. Further, the graphical output does not depend on the input language of the single SCADA supplier and is potentially universal. Actually, this method is tested on some wind farms owned by Renvico srl having different SCADA systems suppliers.
机译:SCADA控制系统在现代风力涡轮机技术中广泛扩散彻底改变了机器组合的管理。潜在的情况下,每个风电场所有者都可以开发自己的绩效评估工具,故障诊断和预防,优化。因此,风化技术在信息时代面临着阐述大量数据的挑战,将它们加工进入知识,直观地可视化。由于源的随机性质,这种野心在于工程,物理,统计和计算机科学的十字路口,因此在学术界和工业之间的科学文学和富有成效的合作中受到了相当大的辩论。在该研究中,提出了一种以组合方式详细阐述涡轮机状态动态和SCADA测量的数学和图形方法。它的实力在于直观和多功能性:它可以用于鸟瞰在机器组合上,用于询问是否明智地计划了维护计划,首先调查了故障原因,特别是对于SCADA系统向农场主提供信息差。此外,图形输出不依赖于单个SCADA供应商的输入语言,并且可能是普遍的。实际上,这种方法在Renvico SRL拥有的一些风电场上进行了测试,具有不同的SCADA系统供应商。

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