Characteristics Analysis and Modeling of Fault Sound and Background Noise of Large Central Air Conditioner
Journal of Electrical and Electronic Engineering
Volume 6, Issue 1, February 2018, Pages: 30-35
Received: Mar. 7, 2018; Published: Mar. 9, 2018
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Authors
Li Junhao, School of Electrical Engineering, Shanghai Dianji University, Shanghai, China
Liu Wenhong, School of Electrical Engineering, Shanghai Dianji University, Shanghai, China; School of Electronic Information, Shanghai Dianji University, Shanghai, China
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Abstract
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.
Keywords
Electrical and Mechanical Equipment, Sound Source Positioning, TDE, Fault Sound Analysis, Noise Analysis and Process
To cite this article
Li Junhao, Liu Wenhong, Characteristics Analysis and Modeling of Fault Sound and Background Noise of Large Central Air Conditioner, Journal of Electrical and Electronic Engineering. Vol. 6, No. 1, 2018, pp. 30-35. doi: 10.11648/j.jeee.20180601.14
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