Application of complexity theory to hydro-turbine maintenance

2017 IEEE Workshop on Power Electronics and Power Quality Applications (PEPQA) Pub Date : 2017-05-01 DOI:10.1109/PEPQA.2017.7981653

J. H. Estrada-Estrada, A. Ustariz-Farfán, E. Cano-Plata

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引用次数: 2

Abstract

Hydro-turbine maintenance would be made easier by measuring the multi-scale entropy of its sound and the magnetic waves produced. Currently used methods include parametric solid modeling, FEA analysis, CFD simulation, CAD design & drafting, PLC & SCADA programming, protections, engineering & testing, and power quality testing, among others. The purpose of this paper is to explore specific connections between hydropower and complexity science. Recent trends in the processing of multiscale entropy of the physical signs are parallel to the advances in mathematical chaos and fractal theory. The presentation of the basic equations of the theory of entropy and complexity are shown in this study, in order to process data generated by turbines and create new procedures to assess them. Electrical circuits dissipate energy and manipulate intelligence. This paper proposes to analyze them from the of entropy and complexity point of view. Electromagnetic signals generated by circuits, such as turbines, can be demodulated to gain useful information.

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复杂性理论在水轮机维修中的应用

通过测量水轮机声音和产生的电磁波的多尺度熵，水轮机的维护将变得更加容易。目前使用的方法包括参数化实体建模、有限元分析、CFD仿真、CAD设计与制图、PLC与SCADA编程、保护、工程与测试、电能质量测试等。本文的目的是探讨水电与复杂性科学之间的具体联系。物理符号的多尺度熵处理的最新趋势与数学混沌和分形理论的进展是平行的。为了处理涡轮机产生的数据并创建新的程序来评估它们，本研究展示了熵和复杂性理论的基本方程。电路耗散能量，操纵智力。本文拟从熵和复杂性的角度对其进行分析。由电路(如涡轮机)产生的电磁信号可以解调以获得有用的信息。

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2017 IEEE Workshop on Power Electronics and Power Quality Applications (PEPQA)

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