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Recognition and Its Application of Boiler Operation Pattern Based on Self-organizing Characteristic Map

机译:基于自组织特征图的锅炉运行模式识别及其应用

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Energy-loss pattern recognition of boiler operation is a basic content of boiler operation economy diagnosis. In this paper, an expression way of boiler operation pattern, the construction of operation pattern eigenvector, the operation pattern recognition method and its application are discussed. The expression way of boiler operation pattern based on operating condition vector and operating parameter vector is proposed, and a generalized eigenvector of boiler operation pattern recognition is constructed. Besides, the influence of real operating condition on the characteristic of energy-loss pattern is well considered. Furthermore, a boiler operation pattern recognition model based on Self-Organizing feature Map network is presented. In addition, according to the inherent characteristic of boiler operation energy-loss pattern recognition, a concept of redundancy characteristic parameter is proposed. The identification ability of this model is improved obviously. In this paper, the result of instances proved that this method is effective.
机译:锅炉操作的能量损耗模式识别是锅炉运营经济诊断的基本内容。本文讨论了锅炉操作图案的表达方式,操作图案特征向量,操作模式识别方法及其应用。提出了基于操作条件矢量和操作参数向量的锅炉操作图案的表达方式,构建了锅炉操作模式识别的广义特征向量。此外,考虑了实际操作条件对能量损耗模式特征的影响。此外,呈现了一种基于自组织特征映射网络的锅炉操作模式识别模型。另外,根据锅炉操作能量损耗模式识别的固有特性,提出了一种冗余特征参数的概念。该模型的识别能力明显提高。在本文中,实例结果证明了这种方法是有效的。

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