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电子学报  2014 

基于GMM聚类的空调机组多未知模态辨识方法研究

DOI: 10.3969/j.issn.0372-2112.2014.10.021, PP. 2004-2008

Keywords: 空调机组,运行模态,高斯混合模型,辨识方法

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Abstract:

智能建筑空调机组故障检测与诊断是保证建筑环境安全、舒适、节能的基本方法.然而,多未知模态辨识仍是其中的关键难点之一.鉴于高斯混合模型(GMM)不受特定概率分布局限,可在区分类别的基础上直接得出数据的统计分布,具有优越的计算性能,且能拟合任意连续分布,本文提出一种基于GMM的空调机组多未知模态辨识方法.仿真试验结果表明,GMM聚类方法在空调机组运行模态辨识中具有较高的准确性与可靠性.

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