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Characteristics Analysis and Modeling of Fault Sound and Background Noise of Large Central Air Conditioner

机译:大型中央空调故障声音和背景噪声的特性分析与建模

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Performance of time delay estimation (TDE) algorithm directly affects effect of electromechanical equipment fault sound source positioning based on TDE. Designing more accurate algorithm based proper models of background noise and fault sound can improve accuracy of localization. Firstly, this paper analyzes the characteristics of noise and fault sound of external central air conditioners, then, models environmental noise using Alpha distribution. Finally, Analyzes measured data and preprocess them, realize the more appropriate modeling of environmental noise and eliminate operating noise sources interference. This study has a guiding significance in large-scale mechanical and electrical equipment failure sound source signal modeling, and is helpful to research on TDE algorithm.
机译:时延估计(TDE)算法的性能直接影响基于TDE的机电设备故障声源定位的效果。设计更准确的基于背景噪声和故障声音的适当模型的算法可以提高定位的准确性。首先,本文分析了外部中央空调的噪声和故障声音的特征,然后使用Alpha分布对环境噪声进行建模。最后,对测得的数据进行分析和预处理,以实现更合适的环境噪声建模并消除运行噪声源的干扰。该研究对大型机电设备故障声源信号建模具有指导意义,有助于TDE算法的研究。

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