Journal of Jilin University(Engineering and Technology Edition) ›› 2023, Vol. 53 ›› Issue (7): 1929-1934.doi: 10.13229/j.cnki.jdxbgxb.20220213

Previous Articles    

Idle noise diagnosis algorithm of air-conditioning refrigeration compressor based on wavelet packet extraction

En-shen LONG(),Guang-ze BAN   

  1. College of Architecture and Environment，Sichuan University，Chengdu 610065，China
  • Received:2022-03-04 Online:2023-07-01 Published:2023-07-20

RICH HTML

 1   

PDF (PC)

47

Abstract:

When the vehicle is idling， the large noise of the air conditioning refrigeration compressor is the low-frequency abnormal noise of the compressor. The idle noise of air conditioning refrigeration compressor has randomness and uncertainty， so its diagnosis is difficult. In order to find the compressor abnormality in time and provide a more comfortable driving and riding environment， the idle noise diagnosis algorithm of air conditioning refrigeration compressor based on wavelet packet extraction is studied. The characteristics of idle noise signal of air-conditioning refrigeration compressor are extracted by wavelet packet， and then the characteristics of idle noise signal of air-conditioning refrigeration compressor are classified by support vector machine （SVM）. According to the classification results of noise signal characteristics， the diagnosis of idle speed noise of air conditioning refrigeration compressor is realized. The experimental results show that the idle noise amplitude of air conditioning refrigeration compressor obtained by the proposed method is closer to the actual idle noise amplitude， and the area of ROC curve is large， which shows that the research algorithm has ideal accuracy for the diagnosis result of compressor idle noise.

Key words: air conditioning refrigeration compressor, idle noise, wavelet envelope, feature extraction, support vector machine

CLC Number: 

  • U463.8

Fig.1

Changes of idle noise after passive increase ofacceleration signal"

Fig.2

Idle noise variation after operating frequency of air?conditioning refrigeration compressorincreases"

Fig.3

Three models of air-conditioning refrigerationcompressors from different companies"

Table 1

Specific parameters of three types of air-conditioning refrigeration compressorsfrom different companies"

压缩机编号制冷剂气缸容积/cm3制冷量/W输入功率/W电机类型油的粘度
1#R125.6132120YUR32
2#R134a5.85575RSIR22
3#R125.9137134RSCR35

Fig.4

Comparison of idle noise amplitude and actualidle noise amplitude under differentdiagnosis methods"

Fig.5

ROC curves under different diagnosis methods"

1 陶宏, 张婷, 吴生礼, 等. 油循环率对电动汽车空调压缩机性能的影响[J]. 制冷学报,2021,42(6):140-145.
Tao Hong, Zhang Ting, Wu Sheng-li, et al. Effect of oil circulation rate on the performance of compressor in electric vehicle air-conditioning[J]. Journal of Refrigeration, 2021, 42(6): 140-145.
2 吴小莉, 郑艺峰.基于K近邻算法的噪声种类识别和强度估计[J].计算机应用, 2020, 40(1): 264-270.
Wu Xiao-li, Zheng Yi-feng. Noise type recognition and intensity estimation based on K-nearest neighbors algorithm[J]. Journal of Computer Applications, 2020, 40(1): 264-270.
3 吴飞, 余神志, 刘苏行, 等.车用制动空气压缩机结构辐射噪声特性研究[J].声学技术, 2021, 40(2): 228-233.
Wu Fei, Yu Shen-zhi, Liu Su-xing, et al. Simulation and experimental study on the radiation noise characteristics of air compressor structure of vehicle brake[J]. Technical Acoustics, 2021, 40(2): 228-233.
4 李天宇, 蒋伟康, 王海军.滚动转子压缩机排气流噪声数值计算与机理分析[J]. 流体机械, 2021, 49(6): 15-21.
Li Tian-yu, Jiang Wei-kang, Wang Hai-jun. Numerical computation and mechanism analysis of the aerodynamic noise of rolling piston compressor during exhaust process[J]. Fluid Machinery, 2021, 49(6): 15-21.
5 彭珍瑞, 曹明明, 刘满东.基于加速度频响函数小波分解的模型修正方法[J]. 航空学报, 2020, 41(7): 181-191.
Peng Zhen-rui, Cao Ming-ming, Liu Man-dong. Model updating method based on wavelet decomposition of acceleration frequency response function[J]. Acta Aeronautica et Astronautica Sinica, 2020, 41(7): 181-191.
6 童力, 刘翰柔, 胡松涛, 等.听觉诱发电位信号分析中小波基函数的确定[J].科学技术与工程, 2021, 21(2): 473-479.
Tong Li, Liu Han-rou, Hu Song-tao, et al. Determination of wavelet basis function in auditory evoked potential signal analysis[J]. Science Technology and Engineering, 2021, 21(2): 473-479.
7 洪亮, 严世榕. 新能源汽车低频振动噪声传递路径模拟方法[J]. 计算机仿真, 2021, 38(1): 102-106.
Hong Liang, Yan Shi-rong. Simulation method of low frequency vibration and noise transfer path of new energy vehicles[J]. Computer Simulation, 2021, 38(1): 102-106.
8 刘竞, 郭忠文, 孙中卫, 等. 采用分而治之策略的快速多标签支持向量机分类算法研究[J].中国海洋大学学报: 自然科学版, 2020, 50(12): 160-166.
Liu Jing, Guo Zhong-wen, Sun Zhong-wei, et al. Research on fast multi-label svm classification algorithm using divide-and-conquer strategy[J]. Periodical of Ocean University of China, 2020, 50(12): 160-166.
9 王俊霞, 申倩影, 王川龙.符号矩阵填充的修正增广拉格朗日乘子算法[J].工程数学学报, 2021, 38(3): 343-352.
Wang Jun-xia, Shen Qian-ying, Wang Chuan-long. The augmented lagrange multiplier algorithm for sign matrix completion[J]. Chinese Journal of Engineering Mathematics, 2021, 38(3): 343-352.
10 李正平, 白倩倩.一种对称无向图的同构判定算法[J]. 合肥工业大学学报: 自然科学版, 2021, 44(3): 332-336.
Li Zheng-ping, Bai Qian-qian. An isomorphism identification algorithm for symmetric undirected graphs[J]. Journal of Hefei University of Technology(Natural Science), 2021, 44(3): 332-336.
[1] Lin BAI,Lin-jun LIU,Xuan-ang LI,Sha WU,Ru-qing LIU. Depth estimation algorithm of monocular image based on self-supervised learning [J]. Journal of Jilin University(Engineering and Technology Edition), 2023, 53(4): 1139-1145.
[2] Jian WU,Bin XU. Displacement interval prediction model and simulation of accumulation landslide based on ceemdan theory [J]. Journal of Jilin University(Engineering and Technology Edition), 2023, 53(2): 562-568.
[3] Kui-yang WANG,Ren HE. Recognition method of braking intention based on support vector machine [J]. Journal of Jilin University(Engineering and Technology Edition), 2022, 52(8): 1770-1776.
[4] Yi-na ZHOU,Hong-li DONG,Yong ZHANG,Jing-yi LU. Feature extraction method of pipeline signals based on VMD de-noising and dispersion entropy [J]. Journal of Jilin University(Engineering and Technology Edition), 2022, 52(4): 959-969.
[5] Wei LUO,Bo LU,Fei CHEN,Teng MA. Fault diagnosis method of NC turret based on PSO⁃SVM and time sequence [J]. Journal of Jilin University(Engineering and Technology Edition), 2022, 52(2): 392-399.
[6] Guo-fa LI,Yan-bo WANG,Jia-long HE,Ji-li WANG. Research progress and development trend of health assessment of electromechanical equipment [J]. Journal of Jilin University(Engineering and Technology Edition), 2022, 52(2): 267-279.
[7] Xiao⁃lei CHEN,Yong⁃feng SUN,Ce LI,Dong⁃mei LIN. Stable anti⁃noise fault diagnosis of rolling bearing based on CNN⁃BiLSTM [J]. Journal of Jilin University(Engineering and Technology Edition), 2022, 52(2): 296-309.
[8] Xian-jun DU,Liang-liang JIA. Fault diagnosis of rolling bearing based on optimized stacked denoising auto encoders [J]. Journal of Jilin University(Engineering and Technology Edition), 2022, 52(12): 2827-2838.
[9] Li-can DAI,Xiang DAI,Ying CUI,Yong-chao WEI. Anomaly data mining algorithm in social network based on deep integrated learning [J]. Journal of Jilin University(Engineering and Technology Edition), 2022, 52(11): 2712-2717.
[10] Cai-mao LI,Shao-fan CHEN,Cheng-rong LIN,Yu-quan HOU,Hao LI. Dynamic recommendation method of virtual community knowledge based on circular knowledge map [J]. Journal of Jilin University(Engineering and Technology Edition), 2022, 52(10): 2385-2390.
[11] Gui-xia LIU,Zhi-yao PEI,Jia-zhi SONG. Prediction of protein-ATP binding site based on deep learning [J]. Journal of Jilin University(Engineering and Technology Edition), 2022, 52(1): 187-194.
[12] Hong-kui XU,Tong-tong JIANG,Xin LI,Bin-xiang JIANG,Yong-lei WANG. LTE uplink interference analysis combined with denoising autoencoder and extreme learning machine [J]. Journal of Jilin University(Engineering and Technology Edition), 2022, 52(1): 195-203.
[13] Yuan-hong LIU,Pan-pan GUO,Yan-sheng ZHANG,Xin LI. Feature extraction of sparse graph preserving projection based on Riemannian manifold [J]. Journal of Jilin University(Engineering and Technology Edition), 2021, 51(6): 2268-2279.
[14] Chun-ping HOU,Chun-yue ZHAO,Zhi-peng WANG,Hai-rui TIAN. Video anomaly detection algorithm based on effective anomaly sample construction [J]. Journal of Jilin University(Engineering and Technology Edition), 2021, 51(5): 1823-1829.
[15] Hui ZHONG,Heng KANG,Ying-da LYU,Zhen-jian LI,Hong LI,Ruo-chuan OUYANG. Image manipulation localization algorithm based on channel attention convolutional neural networks [J]. Journal of Jilin University(Engineering and Technology Edition), 2021, 51(5): 1838-1844.
Viewed
Full text


Abstract

Cited
  Shared   
  Discussed   
No Suggested Reading articles found!
Copyright © Journal of Jilin University(Engineering and Technology Edition), All Rights Reserved.
Tel: +86-431-85095297　Fax: +86-431-85094074　E-mail: xbgxb@jlu.edu.cn
Powered by Beijing Magtech Co. Ltd