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

Li Junhao; Liu Wenhong

doi:doi:10.11648/j.jeee.20180601.14

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

Li Junhao, Liu Wenhong

Published in Journal of Electrical and Electronic Engineering (Volume 6, Issue 1)

Received: 7 March 2018 Published: 9 March 2018

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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.

Published in	Journal of Electrical and Electronic Engineering (Volume 6, Issue 1)
DOI	10.11648/j.jeee.20180601.14
Page(s)	20-25
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2018. Published by Science Publishing Group

Keywords

Electrical and Mechanical Equipment, Sound Source Positioning, TDE, Fault Sound Analysis, Noise Analysis and Process

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APA Style

Li Junhao, Liu Wenhong. (2018). Characteristics Analysis and Modeling of Fault Sound and Background Noise of Large Central Air Conditioner. Journal of Electrical and Electronic Engineering, 6(1), 20-25. https://doi.org/10.11648/j.jeee.20180601.14

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ACS Style

Li Junhao; Liu Wenhong. Characteristics Analysis and Modeling of Fault Sound and Background Noise of Large Central Air Conditioner. J. Electr. Electron. Eng. 2018, 6(1), 20-25. doi: 10.11648/j.jeee.20180601.14

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AMA Style

Li Junhao, Liu Wenhong. Characteristics Analysis and Modeling of Fault Sound and Background Noise of Large Central Air Conditioner. J Electr Electron Eng. 2018;6(1):20-25. doi: 10.11648/j.jeee.20180601.14

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@article{10.11648/j.jeee.20180601.14,
  author = {Li Junhao and Liu Wenhong},
  title = {Characteristics Analysis and Modeling of Fault Sound and Background Noise of Large Central Air Conditioner},
  journal = {Journal of Electrical and Electronic Engineering},
  volume = {6},
  number = {1},
  pages = {20-25},
  doi = {10.11648/j.jeee.20180601.14},
  url = {https://doi.org/10.11648/j.jeee.20180601.14},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.jeee.20180601.14},
  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.},
 year = {2018}
}

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TY  - JOUR
T1  - Characteristics Analysis and Modeling of Fault Sound and Background Noise of Large Central Air Conditioner
AU  - Li Junhao
AU  - Liu Wenhong
Y1  - 2018/03/09
PY  - 2018
N1  - https://doi.org/10.11648/j.jeee.20180601.14
DO  - 10.11648/j.jeee.20180601.14
T2  - Journal of Electrical and Electronic Engineering
JF  - Journal of Electrical and Electronic Engineering
JO  - Journal of Electrical and Electronic Engineering
SP  - 20
EP  - 25
PB  - Science Publishing Group
SN  - 2329-1605
UR  - https://doi.org/10.11648/j.jeee.20180601.14
AB  - 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.
VL  - 6
IS  - 1
ER  -

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Author Information

Li Junhao

School of Electrical Engineering, Shanghai Dianji University, Shanghai, China
Liu Wenhong

School of Electrical Engineering, Shanghai Dianji University, Shanghai, China

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APA Style

Li Junhao, Liu Wenhong. (2018). Characteristics Analysis and Modeling of Fault Sound and Background Noise of Large Central Air Conditioner. Journal of Electrical and Electronic Engineering, 6(1), 20-25. https://doi.org/10.11648/j.jeee.20180601.14

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ACS Style

Li Junhao; Liu Wenhong. Characteristics Analysis and Modeling of Fault Sound and Background Noise of Large Central Air Conditioner. J. Electr. Electron. Eng. 2018, 6(1), 20-25. doi: 10.11648/j.jeee.20180601.14

Copy | Download

AMA Style

Li Junhao, Liu Wenhong. Characteristics Analysis and Modeling of Fault Sound and Background Noise of Large Central Air Conditioner. J Electr Electron Eng. 2018;6(1):20-25. doi: 10.11648/j.jeee.20180601.14

Copy | Download

@article{10.11648/j.jeee.20180601.14,
  author = {Li Junhao and Liu Wenhong},
  title = {Characteristics Analysis and Modeling of Fault Sound and Background Noise of Large Central Air Conditioner},
  journal = {Journal of Electrical and Electronic Engineering},
  volume = {6},
  number = {1},
  pages = {20-25},
  doi = {10.11648/j.jeee.20180601.14},
  url = {https://doi.org/10.11648/j.jeee.20180601.14},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.jeee.20180601.14},
  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.},
 year = {2018}
}

Copy | Download

TY  - JOUR
T1  - Characteristics Analysis and Modeling of Fault Sound and Background Noise of Large Central Air Conditioner
AU  - Li Junhao
AU  - Liu Wenhong
Y1  - 2018/03/09
PY  - 2018
N1  - https://doi.org/10.11648/j.jeee.20180601.14
DO  - 10.11648/j.jeee.20180601.14
T2  - Journal of Electrical and Electronic Engineering
JF  - Journal of Electrical and Electronic Engineering
JO  - Journal of Electrical and Electronic Engineering
SP  - 20
EP  - 25
PB  - Science Publishing Group
SN  - 2329-1605
UR  - https://doi.org/10.11648/j.jeee.20180601.14
AB  - 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.
VL  - 6
IS  - 1
ER  -

Copy | Download