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Intelligent, ANN-based identification system of complex generating sets operating mode

机译:基于智能神经网络的复杂发电机组运行模式识别系统

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The effective operation of the electrical power system (EPS) protection devices is mainly determined by a correctness of generated decisions, classifying actual state of the protected object to one of the two event classes (i.e. normal or fault), which may be realized only if the following conditions are considered: the acquisition of extended information about the protected object is enabled, correct identification of the object operating mode, data processing and decision making speed, the ability of the protective system adaptation to the actual object state and its,, insensitivity" to anykind of interference. On the other hand the use of digital technology allows new approach to the protected object state identification and protection functions adaptation. It may be acieved by implementing additional criteria (both measuring and logical) and by use of new computational methods, based upon artificial intelligence such as artificial neural networks (ANNs).
机译:电力系统(EPS)保护设备的有效运行主要取决于所生成决策的正确性,将受保护对象的实际状态分类为两个事件类别(即正常或故障)之一,只有在以下情况下才能实现考虑以下条件:启用有关受保护对象的扩展信息的获取,正确识别对象的操作模式,数据处理和决策速度,保护系统适应实际对象状态的能力及其不敏感性另一方面,数字技术的使用为保护对象状态的识别和保护功能的适应提供了新的方法。可以通过实施其他标准(测量和逻辑)并使用新的计算方法来实现。 ,基于人工智能,例如人工神经网络(ANN)。

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